Items where Subject is "G760 Machine Learning"

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3D LiDAR-based tracking 3D data 3D vision 5G AI Adaptation Aerial Vehicles Agri-robotics Agriculture Algorithm Algorithm design and analysis Algorithms Ambient Assisted Living Anomaly Detection Artificial Intelligence Artificial Neural Network Artificial intelligence Audio Embeddings Augmented Intelligence Authorship Identification Automatic controller design Automation Autonomous systems Basic safety messages Bayesian Optimization Bayesian melding Behavior recognition Benchmark testing Bias & Variance Big Data Black-Box Optimization Blind Source Separation Blogosphere Text Analysis BraTS Brain tumor segmentation Built Environment CMA-ES CNN COVID-19 CRF Camera networks Capsule Networks Car park surveillance Cascade Correlation Chatbots Classification Clinical Trial Clogging Fault Clustered Representation Sets Clustering Clustering algorithms Cognition Cognitive Psychology Cognitive system Collision avoidance Combustion system Commonsense Computational Intelligence Computational Stylistics Computed response Computer Imaging Computer Science Computer Vision Computer vision ConceptNet Condition monitoring Connected vehicle data Context Context - aware language features Context-aware Sentiment Analysis systems Contextual Contextualization Convolution Neural Network Convolutional Recurrent Neural Networks Coordination Core diagnostics Crop disease; Machine learning; Neural networks; Nitrogen stress; Hyperspectral sensing Cystoid Macular Edema DAGSVM Data Augmentation Data Mining Databases Dataset Deep Learning Deep Neural Networks Deep Reinforcement Learning Deep Supervised Learning Deep Unsupervised Learning Deep learning Deep learning Segmentation Echocardiography Deep learning; single-channel blind source separation; nonintrusive load monitoing; Deep reinforcement learning Demand Side Response Designing overcomplete dictionaries Detection Development Studies Diabetic Retinopathy Dialogue Management Dialogue systems Dimensionality Reduction Dimensionality reduction Display advertising Distributed Computing Domain Adaptation Driving behavior Drone ECG classification Early Stopping Echocardiography Embedded system Empowerment End-to-end evaluation Energy disaggregation Engineering & Technology Ensembling Environment Evaluation Evolutionary Strategy Evolutionary computation Explainable AI FPGA FSD Collection Failure Detection and Recovery Fault Diagnosis Feature Extraction Feature selection Filtering Food Manufacturing Force and Tactile Sensing Framework Fruit Image Data Full blood count Gas turbine Gaussian Processes Gaussian mixture model Gene expression Genetic Programming Genetic algorithms Genetic programming Geography Grasping Grasshoppers Group Extraction HCI HRI Haptics and Haptic Interfaces Harr/LBP feature Health care Healthcare Heat Exchanger Hierarchical Learning Hierarchical Policy Search Hierarchical Reinforcement Learning Hierarchical Robot Planning Human Activity Recognition Human Factors and Human-in-the-Loop Human Robot Collaboration Human detection Human language technology Human tracking Human-Robot Collaboration Human-Robot Interaction Human-robot interaction Human–robot interaction Image Processing Imitation Learning Indoor wayfinding Industrial engineering Industrial gas turbine Information Retrieval Information Theory Informative Path Planning Initialization Instrumented vehicle data Interaction Learning Interactive Robots Interactive robots Interest point detectors Internet Internet of Things (IoT) JCNotOpen JCOpen K-means clustering Kalman Filtering Kernel Kernel-Based Methods Kinect sensor Knowledge Discovery LSTM Landing of Unmanned Aerial Vehicle Language generation Laser-based people detection Learning and Adaptive Systems Learning from demonstration Legged locomotion Life- logging Data. Local Search Local descriptors Localization Long-Term Autonomy MRI Machine Learning Machine fault detection Machine learning Manipulation Markov Decision Process Markov Logic Networks Medical Image Processing. Medical imaging Mixture of Gaussians Mobile Robot Navigation. Mobile applications Mobile robotics Mobile robots Model-Based Modelling. Modularity Motor Primitiives Motor Skill Learning Motor Skills Learning Movement Control Movement Generation Movement Primitives Movement Segmentation Movement Skill Learning Movie Reviews Dataset Multi-Task Learning Multi-part object detection Multi-robot exploration Multimedia metrics Multimodal interaction Multinomial logit model Multiobjective evolutionary algorithm Multiobjective genetic programming Multiobjective optimisation Multiple cue classification Natural Language Processing Navigation Networking Neural Chatbots Neural Networks Neural network Neural networks Neurofuzzy Neutron Noise Noise analysis Non-Parametric Non-intrusive Load Monitoring Non-negative matrix factorization; Principal component analysis; Independent component analysis; Independent principal component analysis Nonnegative matrix factorization NotOAChecked Nuclear Reactors Online learning Ontology Optic nerve head Optical Character Verification Optimal Control Option Discovery Oscillators Owens Tracker PCA Pareto dominance Parkinson's Parkinson’s Particle size distribution Partitioning algorithms Path Integrals Pattern Recognition Pattern recognition People detection Performance evaluation Physical Human-Human Interaction Physical Human-Robot Interaction Physical Interaction Piecewise Aggregate ApproximationPiecewise Aggregate Approximation Place categorization Planning Point cloud clustering Policy Evaluation Policy Search Potatoes Precision Agriculture Prediction Preference Learning Preference-based reinforcement learning Primary Systems Memory Probabalistic neural networks Pseudo-marginal Markov Chain Monte Carlo Nonnegative matrix factorization Reversible jump Markov Chain Monte Carlo Importance sampling Pseudo-marginal Markov Chain Monte Carlo; Nonnegative matrix factorization; Reversible jump Markov Chain Monte Carlo Psycholinguistic RGB-D sensing ROC Curves RST Radiology Random Forest Real-Time Real-time bidding Real-time systems Recurrent Neural Networks Regression Reinforcement Learning Reinforcement learning Reinfrocement Learning Resistance breeding Response Surface Retina Retinal Image Analysis Retinal Spectral Domain Optical Coherence Tomography Images Retinal fundus image Retinal optic disc Reverse Geocoding Reward Function Learning Reward Learning Road Accidents Robot Learning Robot Skill Learning Robot Soccer Robot sensing systems Robotic Environment Mapping Robotic Exploration Robotic Grasping Robotic Information Gathering Robotic Monitoring Robotic perception Robotics Robustness SARS-CoV-2 SLAM SPARC SVM classifier Savitzky–Golay adaptive filtering Security Segmentation Self Training Self-supervised Learning Semantic Web Semantic place classification Semantic place information Semi-Markov Decision Processes Sensor fusion Sentiment Analysis Sequencing Service Robotics Service Robots Service robots Signal Processing Sim-to-Real Situated interaction Social Activity Classification Social Human-Robot Interactions Sparse component analysis Hyperplane clustering Underdetermined blind source separation Kernel density function Sparse component analysis; Hyperplane clustering; Underdetermined blind source separation Sparse representation Spatiotemporal phenomena Spiking neural network(SNN) Spoken dialogue systems Spoken interaction Standardization Statistical Analysis Statistical Physics Statistical inference Statistical methods Statistics Statistics & Numerical data Stochasic Search Stochastic Optimal Control Stochastic Search Subdivision method Support Vector Machine Surveillance Swarm Behavior Swarm of Desert Locusts Swarms Symbolic regression Tactile Feedback Task Success Task Timing Task analysis Temporal Difference Learning Text Mining Tikhonov regularization Tongue Classification Topological maps Trajectory Trajectory Optimization Trajectory classification Trend analysis Trust Region Ultrasound image segmentation Unet Unmanned Aerial Vehicles Urban Studies User Engagement User Modeling Validation studies Variational Bayes Variational Inference Vibration Signal Vicinal-risk minimization Video Video Surveillance Virtual environments Vision Visual SLAM Visual landmarks Visual sensor networks Volumetric Analysis of OCT Scans Wearable Sensor Western Medicine YOLO. action recognition activity recognition ad recommendation adversarial examples agricultural robotics agriculture algorithm analytical optimization. animal behaviour anomaly detection artificial intelligence assisted mobility assistive living assistive robotics assistive technologies automatic fetal biometric measurements automation autonomous robot autonomous robots behavioral ecology behavioural cloning behavorial cloning bias bmjdoi bmjgoldcheck bmjholiday bmjtype boundary method capsule neural networs cascade detector chatbots classification classification models clustering co-creative drawing cogx complex motion computer vision computer-aided detection (CAD) computer-aided diagnosis computing condition monitoring congenital cranial dysinnervation disorders congenital fibrosis of extraocular muscles contextual stochastic searc convolutional neural network convolutional neural network autoencoder crop management data analysis data visualisation deep learning deep learning; echocardiography; neural architecture search; view classification; AutoML deep neural networks deep reinforcement learning diabetes mellitus diabetic retinopathy diagnosis discourse RST discrete Fourier transform distributed learning distributed processing domain adaptation domotics drug-disease relationship dyadic joint object manipulation dynamic multiobjective optimization dynamics eHealth early stopping educational robotics electromyography empirical mode decomposition ensemble machine learning ensembling environment perception extrospection face recognition fall detection fault diagnosis feature evaluation and selection feature extraction fetal femur fetal head food technology fundus image analysis furniture fuzzy one class support vector machine genetic programming glioblastoma global latent variables gradient methods grey-box modelling haptic collaboration haptic interaction pattern recognition haptic interfaces haptics-enabled virtual environments healthcare human action recognition trace transform human detection human interaction patterns human tracking human-human cooperation human-human-interaction dataset human-robot collaboration human-robot interaction image-based crop phenotyping imitation learning imperfect training data independent component analysis industrial gas turbine interaction patterns interactive learning interactive machine learning interactive reinforcement learning interpolation introspection inverse models inverse reinforcement learning kernel methods knowledge co-production knowledge gap detection learning (artificial intelligence) learning and adaptive systems learning by demonstration leucocyte linear models literature-based discovery livestock management localization machine learning machine learning methods machine reading machine vision manipulation planning mapping mask R-CNN mask fusion medical imaging medical prediction medical signal processing metric map mobile robot mobile robotics mobile robots mobile rootics monocyte motion and path planning motion capture motive management mouse tracking movement primitives movement skills multi-class classi?cation multi-domain dialogue management multi-modal place classification multi-scale prediction multi-source domain adaptation multimodal functions multiple cameras multiple depth sensors natural continuous music navigation neural network neural networks neutron noise new protocol nonintrusive load monitoring novelty detection nuclear power plant core monitoring anomaly prediction nuclear reactor nuclear reactors object tracking office automation one class classification one class support vector machine ongoing online learning online ocsvm operational pattern discrimination ophthalmology optic nerve hypoplasia optical character verification optical coherence tomography optimization oscillation. pareto front particle filter particle filtering people detection people trcacking perturbation analysis physical human-X interaction physical tasks place categorization place labeling place recognition planning plant disease policy search principal component analysis quality of life technologies question answering recognition reinforcement learning retail food packaging retina retinal ganglion cells retinal vessel retinal vessel segmentation retinopathy retinopathy of prematurity retrieval retro-reflective markers robot swarms robot vision robotics routing uncertainty scalable test problems self-localisation self-organising feature maps self-organising map self-organizing neural network semantic annotation of space semantic information semantic labeling semantic mapping semantic segmentation sensor and cue integration sensor fusion sensor networks sensory descriptive evaluation sentence embeddings service robotics service robots shape optimisation signal classification signal processing signal reconstruction sketch-based computing slam smart home soil management solid modelling source separation spectral analysis speech recognition spoken dialogue systems statistical analysis stereo image processing strawberry harvester stress detection subdivision technique supervised learning support vector machine support vector machines surgical video surveillance survey swarm robotics swarm systems swarms system integration textons topological map topological mapping trade-offs optimization trajectory optimization transfer learning treatment monitoring unsupervised classi?cation unsupervised feature clustering unsupervised learning variance variance stabilization variational Bayesian inference variational inference vision vision-based control voxel person water management wearable physiological sensors
Number of items at this level: 1016.

3D LiDAR-based tracking

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2020) Online Learning for 3D LiDAR-based Human Detection: Experimental Analysis of Point Cloud Clustering and Classification Methods. Autonomous Robots, 44 (2). pp. 147-164. ISSN 0929-5593

3D data

Chatzifotis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos and Daras, Petros (2019) DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors. Sensors, 19 (2). p. 282. ISSN 1424-8220

3D vision

Chatzifotis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos and Daras, Petros (2019) DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors. Sensors, 19 (2). p. 282. ISSN 1424-8220

5G

Zhivkov, Tsvetan, Gomez, Adrian, Gao, Junfeng, Sklar, Elizabeth and Parsons, Simon (2021) The need for speed: How 5G communication can support AI in the field. In: EPSRC UK-RAS Network (2021). UKRAS21 Conference: Robotics at home Proceedings, 02 June 2021, Virtual.

AI

Maleki, Sepehr and Bingham, Chris (2017) A one-class Clustering technique for Novelty Detection and Isolation in sensor networks. In: 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Adaptation

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Kollias, Dimitrios, Yu, Miao, Tagaris, Athanasios, Leontidis, Georgios, Kollias, Stefanos and Stafylopatis, Andreas-Georgios (2017) Adaptation and contextualization of deep neural network models. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8. ISBN UNSPECIFIED

Aerial Vehicles

Polvara, Riccardo, Patacchiola, Massimiliano, Hanheide, Marc and Neumann, Gerhard (2020) Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics, 9 (1). ISSN 2218-6581

Agri-robotics

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Agriculture

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Zhivkov, Tsvetan, Gomez, Adrian, Gao, Junfeng, Sklar, Elizabeth and Parsons, Simon (2021) The need for speed: How 5G communication can support AI in the field. In: EPSRC UK-RAS Network (2021). UKRAS21 Conference: Robotics at home Proceedings, 02 June 2021, Virtual.

Algorithm

Owens, Jonathan, Hunter, Andrew and Fletcher, Eric (2002) A fast model-free morphology-based object tracking algorithm. In: British Machine Vision Conference 2002, 2nd-5th September 2002, University of Cardiff.

Algorithm design and analysis

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Algorithms

Emmanouilidis, Christos, Hunter, Andrew, MacIntyre, John and Cox, Chris (1999) Selecting features in neurofuzzy modelling by multi-objective genetic algorithms. In: ICANN 1999, 7-10 September 1999, Edinburgh.

Ambient Assisted Living

Fernandez-Carmona, Manuel and Bellotto, Nicola (2016) On-line inference comparison with Markov Logic Network engines for activity recognition in AAL environments. In: IEEE International Conference on Intelligent Environments, 14-16 September 2016, London.

Anomaly Detection

Caliva, Francesco, De Sousa Ribeiro, Fabio, Mylonakis, Antonios, Demaziere, Christophe, Vinai, Paolo, Leontidis, Georgios and Kollias, Stefanos (2018) A deep learning approach to anomaly detection in nuclear reactors. 2018 International Joint Conference on Neural Networks (IJCNN) . ISSN 2161-4393

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. EPJ Nuclear Sciences & Technologies, 5 . p. 20. ISSN 2491-9292

Maleki, Sepehr, Maleki, Sasan and Jennings, Nicholas R. (2021) Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering. Applied Soft Computing, 108 . p. 107443. ISSN 1568-4946

Artificial Intelligence

Dethlefs, Nina, Schoene, Annika and Cuayahuitl, Heriberto (2021) A Divide-and-Conquer Approach to Neural Natural Language Generation from Structured Data. Neurocomputing, 433 . pp. 300-309. ISSN 0925-2312

Martinez Mozos, Oscar, Gil, Arturo, Ballesta, Monica and Reinoso, Oscar (2007) Interest point detectors for visual SLAM. In: Current Topics in Artificial Intelligence. Lecture Notes in Computer Science, 4788 . Springer Berlin / Heidelberg, Germany, pp. 170-179. ISBN 9783540752707

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Triebel, Rudolph, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Collective classification for labeling of places and objects in 2D and 3D range data. In: Data analysis, machine learning and applications. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Germany, pp. 293-300. ISBN 9783540782391, 9783540782469

Artificial Neural Network

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

Artificial intelligence

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Audio Embeddings

Lopez Zorrilla, Asier, Torres, M. Ines and Cuayahuitl, Heriberto (2021) Audio Embeddings Help to Learn Better Dialogue Policies. In: IEEE Automatic Speech Recognition and Understanding.

Augmented Intelligence

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (SWARM2021), 01-04 Jun 2021, Kyoto, Japan.

Authorship Identification

Mohtasseb, Haytham and Ahmed, Amr (2009) Mining online diaries for blogger identification. In: The 2009 International Conference of Data Mining and Knowledge Engineering - The World Congress on Engineering, 1 - 3 July, 2009, London, UK.

Mohtasseb, Haytham and Ahmed, Amr (2009) More blogging features for author identification. In: The 2009 International Conference on Knowledge Discovery (ICKD'09), 2009, Manila.

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

Automatic controller design

Stewart, Paul, Stone, D. A. and Fleming, P.A. (2006) On-line multiobjective automatic control system generation by evolutionary algorithms. In: 2004 IEEE International Symposium on Industrial Electronics, 4-7 May 2004, Palais de Congres Expositions, Ajaccio, France.

Automation

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Autonomous systems

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Basic safety messages

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Bayesian Optimization

Akrour, R., Sorokin, D., Peters, J. and Neumann, G. (2017) Local Bayesian optimization of motor skills. In: International Conference on Machine Learning (ICML), 6 - 11 August 2017, Sydney, Australia.

Bayesian melding

Zhong, Mingjun, Goddard, Nigel and Sutton, Charles (2015) Latent Bayesian melding for integrating individual and population models. In: Advances in Neural Information Processing Systems, 7 - 12 December 2015, Montreal, Canada.

Behavior recognition

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

Benchmark testing

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Bias & Variance

Riley, Mike J. W., Jenkins, Karl W. and Thompson, Chris P. (2010) A study of early stopping, ensembling, and patchworking for cascade correlation neural networks. International Journal of Applied Mathematics, 40 (4). pp. 307-316. ISSN 1992-9978

Big Data

Koley, Subha, Srivastava, Saket and Ghosal, Prasun (2018) Correlating Fatality Rate to Road Accidents in India: A Case Study using Big Data. In: IEEE International Symposium on Smart Electronic Systems, 17-19 Dec 2018, Hyderabad, India.

Black-Box Optimization

Abdolmaleki, A., Lioutikov, R., Lua, N., Paulo Reis, L., Peters, J. and Neumann, G. (2016) Model-based relative entropy stochastic search. In: Advances in Neural Information Processing Systems (NIPS), 20 - 24 July 2016, Denver, CO.

Blind Source Separation

Zhong, Mingjun, Goddard, Nigel and Sutton, Charles (2014) Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation. In: NIPS Conference on Neural Information Processing Systems, 8 - 13 December 2014, Montreal, Canada.

Blogosphere Text Analysis

Mohtasseb, Haytham and Ahmed, Amr (2009) More blogging features for author identification. In: The 2009 International Conference on Knowledge Discovery (ICKD'09), 2009, Manila.

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

BraTS

Colman, Jordan, Zhang, Lei, Duan, Wenting and Ye, Xujiong (2021) DR-Unet104 for Multimodal MRI Brain Tumor Segmentation. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer, Cham, pp. 410-419. ISBN 978-3-030-72086-5, 978-3-030-72087-2

Brain tumor segmentation

Colman, Jordan, Zhang, Lei, Duan, Wenting and Ye, Xujiong (2021) DR-Unet104 for Multimodal MRI Brain Tumor Segmentation. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer, Cham, pp. 410-419. ISBN 978-3-030-72086-5, 978-3-030-72087-2

Built Environment

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

CMA-ES

Abdolmaleki, A., Price, B., Lau, N., Reis, P. and Neumann, G. (2017) Contextual CMA-ES. In: International Joint Conference on Artificial Intelligence (IJCAI), 22 - 25 August 2017, Melbourne, Australia.

Abdolmaleki, Abbas, Price, Bob, Lau, Nuno, Reis, Luis Paulo and Neumann, Gerhard (2017) Deriving and improving CMA-ES with Information geometric trust regions. In: The Genetic and Evolutionary Computation Conference (GECCO 2017), 15-19 July 2017, Berlin, Germany.

CNN

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

COVID-19

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

CRF

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) Context incorporation using context-aware language features. In: European Conference on Signal Processing, 28/8-2/9/2017, Kos, Greece.

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From HCI and affective computing to sentiment analysis: extending the pool of context-aware features in affective-aware systems. In: 8th International Conference on Human Factors and Ergonomics 2017, 17-21 July 2017, Los Angeles, CA, USA.

Camera networks

Coşar, Serhan and Çetin, Müjdat (2015) Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Computer Vision and Image Understanding, 139 . pp. 40-58. ISSN 1077-3142

Capsule Networks

De Sousa Ribeiro, Fabio, Leontidis, Georgios and Kollias, Stefanos (2020) Capsule Routing via Variational Bayes. In: Thirty-fourth AAAI Conference on Artificial Intelligence, 7-12 February 2020, New York, USA.

Car park surveillance

Hunter, Andrew, Owens, Jonathan and Carpenter, M. (2003) A Neural System for Automated CCTV Surveillance. In: IEE Symposium Intelligent Distributed Surveillance Systems, 26 February 2003, London.

Cascade Correlation

Riley, Mike J. W., Jenkins, Karl W. and Thompson, Chris P. (2010) A study of early stopping, ensembling, and patchworking for cascade correlation neural networks. International Journal of Applied Mathematics, 40 (4). pp. 307-316. ISSN 1992-9978

Chatbots

Cuayahuitl, Heriberto, Ryu, Seonghan, Lee, Donghyeon and Kim, Jihie (2018) A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. In: NeurIPS Workshop on Conversational AI, 7 December 2018, Montreal, Canada.

Classification

Hunter, Andrew (2002) Expression inference - genetic symbolic classification integrated with non-linear coefficient optimisation. In: Joint International Conferences, AISC 2002 & Calculemus 2002, 1-5 July 2002, Marseilles, France.

Kotsiliti, Evangelia, Hunter, Andrew and Al-Diri, Bashir (2017) A classification model for predicting diabetic retinopathy based on patient characteristics and biochemical measures. Journal for Modeling in Ophthalmology, 1 (4). pp. 69-85.

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2017) A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine, 90 . pp. 98-115. ISSN 0010-4825

Ni, Ji and Rockett, Peter (2015) Training genetic programming classifiers by vicinal-risk minimization. Genetic Programming and Evolvable Machine, 16 (1). pp. 3-25. ISSN 1389-2576

Rossetti, Damiano, Squartini, Stefano, Collura, Stefano and Zhang, Yu (2018) Power plant condition monitoring by means of coal powder granulometry classification. Measurement, 123 . pp. 39-47. ISSN 0263-2241

Clinical Trial

Fournier, L, Costaridou, L, Bidaut, Luc, Michoux, N, Lecouvet, F, de Geus-Oei, L-F, Boellaard, R, Oprea-Lager, D E, Obuchowski, N, Caroli, A, Kunz, W G, Oei, E H, O'Connor, J P B, Mayerhoefer, M E, Franca, M, Alberich-Bayarri, A, Deroose, C M, Loewe, C, Manniesing, R, Caramella, C, Lopci, E, Lassau, N, Persson, A, Achten, R, Rosendahl, K, Clement, O, Kotter, E, Golay, X, Smits, M, Dewey, M, Sullivan, D, van der Lugt, A and deSouza, N M (2021) Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically-driven quantitative biomarkers. European Radiology, 126 (5). 056001. ISSN 0938-7994

Clogging Fault

Huang, Jianfeng, Chen, Guohua, Shu, Lei, Wang, Shihua and Zhang, Yu (2016) An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals. IEEE Access, 4 . pp. 1800-1809. ISSN 2169-3536

Clustered Representation Sets

Kollias, Dimitrios, Yu, Miao, Tagaris, Athanasios, Leontidis, Georgios, Kollias, Stefanos and Stafylopatis, Andreas-Georgios (2017) Adaptation and contextualization of deep neural network models. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8. ISBN UNSPECIFIED

Clustering

Gong, Liyun, Mu, tingting, Wang, Meng, Liu, Hengchang and Y. Goulermas, John (2018) Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing, 272 . pp. 237-249. ISSN 0925-2312

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Maleki, Sepehr and Bingham, Chris (2017) A one-class Clustering technique for Novelty Detection and Isolation in sensor networks. In: 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

Clustering algorithms

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Cognition

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Cognitive Psychology

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Cognitive system

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

Collision avoidance

Osa, Takayuki, Ghalamzan Esfahani, Amir M., Stolkin, Rustam, Lioutikov, Rudolf, Peters, Jan and Neumann, Gerhard (2017) Guiding trajectory optimization by demonstrated distributions. IEEE Robotics and Automation Letters (RA-L), 2 (2). pp. 819-826. ISSN 2377-3766

Combustion system

Zhang, Yu, Martinez, Miguel, Garlick, Mike, Latimer, Anthony and Cruz-Manzo, Samuel (2017) Condition monitoring of combustion system on industrial gas turbines based on trend and noise analysis. In: ASME TURBO EXPO 2017: Turbomachinery Technical Conference & Exposition, 26-30 June, 2017, Charlotte, NC USA.

Commonsense

Mohtasseb, Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.

Computational Intelligence

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Computational Stylistics

Mohtasseb, Haytham and Ahmed, Amr (2009) More blogging features for author identification. In: The 2009 International Conference on Knowledge Discovery (ICKD'09), 2009, Manila.

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

Computed response

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain, Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

Computer Imaging

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Computer Science

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

Computer Vision

Barnes, Michael, Cielniak, Grzegorz and Duckett, Tom (2010) Minimalist AdaBoost for blemish identification in potatoes. In: International Conference on Computer Vision and Graphics 2010, Sep 20-22 2010, PJIIT - Polish-Japanese Institute of Information Technology, Warsaw, Poland.

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Computer vision

Meng, Hongying, Pears, Nick and Bailey, Chris (2008) Motion feature combination for human action recognition in video. In: Computer Vision and Computer Graphics. Theory and Application. Springer, Berlin Heidelberg, pp. 151-163. ISBN 978-3-540-89681-4

Owens, Jonathan, Hunter, Andrew and Fletcher, Eric (2002) A fast model-free morphology-based object tracking algorithm. In: British Machine Vision Conference 2002, 2nd-5th September 2002, University of Cardiff.

Zhivkov, Tsvetan, Gomez, Adrian, Gao, Junfeng, Sklar, Elizabeth and Parsons, Simon (2021) The need for speed: How 5G communication can support AI in the field. In: EPSRC UK-RAS Network (2021). UKRAS21 Conference: Robotics at home Proceedings, 02 June 2021, Virtual.

ConceptNet

Mohtasseb, Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.

Condition monitoring

Rossetti, Damiano, Squartini, Stefano, Collura, Stefano and Zhang, Yu (2018) Power plant condition monitoring by means of coal powder granulometry classification. Measurement, 123 . pp. 39-47. ISSN 0263-2241

Zhang, Yu, Martinez, Miguel, Garlick, Mike, Latimer, Anthony and Cruz-Manzo, Samuel (2017) Condition monitoring of combustion system on industrial gas turbines based on trend and noise analysis. In: ASME TURBO EXPO 2017: Turbomachinery Technical Conference & Exposition, 26-30 June, 2017, Charlotte, NC USA.

Connected vehicle data

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Context

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

Context - aware language features

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) Context incorporation using context-aware language features. In: European Conference on Signal Processing, 28/8-2/9/2017, Kos, Greece.

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From HCI and affective computing to sentiment analysis: extending the pool of context-aware features in affective-aware systems. In: 8th International Conference on Human Factors and Ergonomics 2017, 17-21 July 2017, Los Angeles, CA, USA.

Context-aware Sentiment Analysis systems

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

Contextual

Tangkaratt, V., van Hoof, H., Parisi, S., Neumann, G., Peters, J. and Sugiyama, M. (2017) Policy search with high-dimensional context variables. In: AAAI Conference on Artificial Intelligence (AAAI), 4 - 9 February 2017, San Francisco, California, USA.

Contextualization

Kollias, Dimitrios, Yu, Miao, Tagaris, Athanasios, Leontidis, Georgios, Kollias, Stefanos and Stafylopatis, Andreas-Georgios (2017) Adaptation and contextualization of deep neural network models. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8. ISBN UNSPECIFIED

Convolution Neural Network

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

Convolutional Recurrent Neural Networks

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Coordination

Stachniss, Cyrill, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Efficient exploration of unknown indoor environments using a team of mobile robots. Annals of Mathematics and Artificial Intelligence (AMAI), 52 (2-4). pp. 205-227. ISSN 1012-2443

Core diagnostics

Demaziere, Christophe, Mylonakis, Antonios, Vinai, Paolo, Durrant, Aiden, De Sousa Ribeiro, Fabio, Wingate, James, Leontidis, Georgios and Kollias, Stefanos (2020) Neutron Noise-based Anomaly Classification and Localization using Machine Learning. In: International Conference on Physics of Reactors (PHYSOR) 2020.

Crop disease; Machine learning; Neural networks; Nitrogen stress; Hyperspectral sensing

Pantazi, Xanthoula Eirini, Moshou, Dimitrios, Oberti, Roberto, West, Jon, Mouazen, Abdul Mounem and Bochtis, Dionysis (2017) Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers. Precision Agriculture, 18 (3). pp. 383-393. ISSN 1385-2256

Cystoid Macular Edema

Greenwood, Luke, Habib, Maged and Al-Diri, Bashir (2021) Semi-Automated Labelling of Cystoid Macular Edema in OCT Scans. Biomedical Journal of Scientific & Technical Research, 36 (4). pp. 28761-28767. ISSN 2574-1241

DAGSVM

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen, Wang, Liang and Chambers, Jonathan (2012) Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Transactions on Information Technology in Biomedicine, 16 (6). pp. 1274-1286. ISSN 1089-7771

Data Augmentation

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Data Mining

Mohtasseb, Haytham and Ahmed, Amr (2009) Mining online diaries for blogger identification. In: The 2009 International Conference of Data Mining and Knowledge Engineering - The World Congress on Engineering, 1 - 3 July, 2009, London, UK.

Triebel, Rudolph, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Collective classification for labeling of places and objects in 2D and 3D range data. In: Data analysis, machine learning and applications. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Germany, pp. 293-300. ISBN 9783540782391, 9783540782469

Databases

Onoufriou, George, Bickerton, Ronald, Pearson, Simon and Leontidis, Georgios (2019) Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. Computers in Industry, 113 . p. 103133. ISSN 0166-3615

Dataset

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2020) Online Learning for 3D LiDAR-based Human Detection: Experimental Analysis of Point Cloud Clustering and Classification Methods. Autonomous Robots, 44 (2). pp. 147-164. ISSN 0929-5593

Deep Learning

Azarmehr, Neda, Ye, Xujiong, Janan, Faraz, Howard, James P, Francis, Darrel P and Zolgharni, Massoud (2019) Automated Segmentation of Left Ventricle in 2D echocardiography using deep learning. In: Medical Imaging with Deep Learning 2019, 8-10th July 2019, London.

Becker, Philipp, Pandya, Harit, Gebhardt, Gregor, Zhao, Cheng, Taylor, C. James and Neumann, Gerhard (2019) Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. In: Proceedings of the 36th International Conference on Machine Learning, 9th - 15th June 2019, California, USA.

Caliva, Francesco, De Sousa Ribeiro, Fabio, Mylonakis, Antonios, Demaziere, Christophe, Vinai, Paolo, Leontidis, Georgios and Kollias, Stefanos (2018) A deep learning approach to anomaly detection in nuclear reactors. 2018 International Joint Conference on Neural Networks (IJCNN) . ISSN 2161-4393

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Chudzik, Piotr, Mitchell, Arthur, Alkaseem, Mohammad, Wu, Yingie, Fang, Shibo, Hudaib, Taghread, Pearson, Simon and Al-Diri, Bashir (2020) Mobile Real-Time Grasshopper Detection and Data Aggregation Framework. Scientific Reports, 10 . p. 1150. ISSN 2045-2322

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2020) Deep Bayesian Self-Training. Neural Computing and Applications, 32 (9). pp. 4275-4291. ISSN 0941-0643

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2018) An adaptable deep learning system for optical character verification in retail food packaging. 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) . pp. 1-8. ISSN 2473-4691

De Sousa Ribeiro, Fabio, Leontidis, Georgios and Kollias, Stefanos (2020) Capsule Routing via Variational Bayes. In: Thirty-fourth AAAI Conference on Artificial Intelligence, 7-12 February 2020, New York, USA.

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. EPJ Nuclear Sciences & Technologies, 5 . p. 20. ISSN 2491-9292

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Maleki, Sepehr, Maleki, Sasan and Jennings, Nicholas R. (2021) Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering. Applied Soft Computing, 108 . p. 107443. ISSN 1568-4946

Mohtasib, Abdalkarim, Ghalamzan Esfahani, Amir, Bellotto, Nicola and Cuayahuitl, Heriberto (2021) Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. In: International Joint Conference on Neural Networks (IJCNN).

Onoufriou, George, Bickerton, Ronald, Pearson, Simon and Leontidis, Georgios (2019) Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. Computers in Industry, 113 . p. 103133. ISSN 0166-3615

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

Deep Neural Networks

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2020) Deep Bayesian Self-Training. Neural Computing and Applications, 32 (9). pp. 4275-4291. ISSN 0941-0643

Kollias, Dimitrios, Yu, Miao, Tagaris, Athanasios, Leontidis, Georgios, Kollias, Stefanos and Stafylopatis, Andreas-Georgios (2017) Adaptation and contextualization of deep neural network models. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8. ISBN UNSPECIFIED

Deep Reinforcement Learning

Akrour, R., Pajarinen, J., Neumann, Gerhard and Peters, J. (2019) Projections for Approximate Policy Iteration Algorithms. In: Proceedings of the International Conference on Machine Learning (ICML), 9th - 15th June 2019, California, USA.

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Cuayahuitl, Heriberto (2017) Deep reinforcement learning for conversational robots playing games. In: IEEE RAS International Conference on Humanoid Robots, 15 - 17 November 2017, REP Theatre, Birmingham, UK.

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Cho, Yongjin, Choi, Sungja, Indurthi, Satish, Yu, Seunghak, Choi, Hyungtak, Hwang, Inchul and Kim, Jihie (2019) Ensemble-Based Deep Reinforcement Learning for Chatbots. Neurocomputing, 366 . pp. 118-130. ISSN 0925-2312

Mohtasib, Abdalkarim, Neumann, Gerhard and Cuayahuitl, Heriberto (2021) A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. In: Towards Autonomous Robotic Systems Conference (TAROS).

Polvara, Riccardo, Patacchiola, Massimiliano, Hanheide, Marc and Neumann, Gerhard (2020) Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics, 9 (1). ISSN 2218-6581

Deep Supervised Learning

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Cho, Yongjin, Choi, Sungja, Indurthi, Satish, Yu, Seunghak, Choi, Hyungtak, Hwang, Inchul and Kim, Jihie (2019) Ensemble-Based Deep Reinforcement Learning for Chatbots. Neurocomputing, 366 . pp. 118-130. ISSN 0925-2312

Deep Unsupervised Learning

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Cho, Yongjin, Choi, Sungja, Indurthi, Satish, Yu, Seunghak, Choi, Hyungtak, Hwang, Inchul and Kim, Jihie (2019) Ensemble-Based Deep Reinforcement Learning for Chatbots. Neurocomputing, 366 . pp. 118-130. ISSN 0925-2312

Deep learning

Barber, Jack, Cuayahuitl, Heriberto, Zhong, Mingjun and Luan, Wempen (2020) Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning. In: 5th International Workshop on Non-Intrusive Load Monitoring, 18 November 2020, co-located with ACM BuildSys 2020.

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (SWARM2021), 01-04 Jun 2021, Kyoto, Japan.

Colman, Jordan, Zhang, Lei, Duan, Wenting and Ye, Xujiong (2021) DR-Unet104 for Multimodal MRI Brain Tumor Segmentation. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer, Cham, pp. 410-419. ISBN 978-3-030-72086-5, 978-3-030-72087-2

Li, Matthew D, Chang, Ken, Bearce, Ben, Chang, Connie Y, Huang, Ambrose J, Campbell, J Peter, Brown, James M, Singh, Praveer, Hoebel, Katharina V, Erdoğmuş, Deniz, Ioannidis, Stratis, Palmer, William E, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2020) Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine, 3 (48). ISSN 2398-6352

Deep learning Segmentation Echocardiography

Azarmehr, Neda, Ye, Xujiong, Sacchi, Stefania, Howard, James P, Francis, Darrel P and Zolgharni, Massoud (2020) Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning. In: Annual Conference on Medical Image Understanding and Analysis.

Deep learning; single-channel blind source separation; nonintrusive load monitoing;

Zhang, Chaoyun, Zhong, Mingjun, Wang, Zongzuo, Goddard, Nigel and Sutton, Charles (2018) Sequence-to-point learning with neural networks for nonintrusive load monitoring. In: The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2 - 7 February 2018, New Orleans.

Deep reinforcement learning

Pajarinen, J., Thai, H.L., Akrour, R., Peters, J. and Neumann, Gerhard (2019) Compatible natural gradient policy search. Machine Learning . ISSN 1573-0565

Demand Side Response

Onoufriou, George, Bickerton, Ronald, Pearson, Simon and Leontidis, Georgios (2019) Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. Computers in Industry, 113 . p. 103133. ISSN 0166-3615

Designing overcomplete dictionaries

Coşar, Serhan and Çetin, Müjdat (2015) Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Computer Vision and Image Understanding, 139 . pp. 40-58. ISSN 1077-3142

Detection

Chudzik, Piotr, Mitchell, Arthur, Alkaseem, Mohammad, Wu, Yingie, Fang, Shibo, Hudaib, Taghread, Pearson, Simon and Al-Diri, Bashir (2020) Mobile Real-Time Grasshopper Detection and Data Aggregation Framework. Scientific Reports, 10 . p. 1150. ISSN 2045-2322

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2017) A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine, 90 . pp. 98-115. ISSN 0010-4825

Development Studies

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

Diabetic Retinopathy

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2017) A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine, 90 . pp. 98-115. ISSN 0010-4825

Dialogue Management

Cuayahuitl, Heriberto (2011) Spatially-aware dialogue control using hierarchical reinforcement learning. ACM Transactions on Speech and Language Processing (TSLP), 7 (3). ISSN 1550-4875

Dialogue systems

Cuayahuitl, Heriberto, Renals, Steve, Lemon, Oliver and Shimodaira, Hiroshi (2010) Evaluation of a hierarchical reinforcement learning spoken dialogue system. Computer Speech & Language, 24 (2). pp. 395-429. ISSN 0885-2308

Cuayáhuitl, Heriberto (2009) Hierarchical reinforcement learning for spoken dialogue systems. PhD thesis, The University of Edinburgh.

Dimensionality Reduction

Luck, K. S., Neumann, G., Berger, E., Peters, J. and Amor, H. B. (2014) Latent space policy search for robotics. In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 14 - 18 September 2014, Chicago, Illinois.

Dimensionality reduction

Gallimore, Michael, Riley, Mike and Bingham, Chris (2015) Self-Organizing Piecewise Aggregate Approximation algortihm for intelligent detection and diagnosis of heart conditions. In: International Conference on Medical and Health Sciences, 13th June 2015, Berlin, Germany.

Display advertising

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) MM2RTB: bringing multimedia metrics to real-time bidding. In: KDD Workshop, 13 - 17 August, 2017, Halifax, Nova Scotia, Canada.

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) Optimizing trade-offs among stakeholders in real-time bidding by incorporating multimedia metrics. In: SIGIR, 7 - 11 August 2017, Tokyo.

Distributed Computing

Onoufriou, George, Bickerton, Ronald, Pearson, Simon and Leontidis, Georgios (2019) Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. Computers in Industry, 113 . p. 103133. ISSN 0166-3615

Domain Adaptation

Mohtasib, Abdalkarim, Ghalamzan Esfahani, Amir, Bellotto, Nicola and Cuayahuitl, Heriberto (2021) Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. In: International Joint Conference on Neural Networks (IJCNN).

Driving behavior

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Drone

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

ECG classification

Gallimore, Michael, Riley, Mike and Bingham, Chris (2015) Self-Organizing Piecewise Aggregate Approximation algortihm for intelligent detection and diagnosis of heart conditions. In: International Conference on Medical and Health Sciences, 13th June 2015, Berlin, Germany.

Early Stopping

Riley, Mike, Jenkins, Karl W. and Thompson, Chris P. (2010) Improving the performance of cascade correlation neural networks on multimodal functions. In: World Congress on Engineering 2010, 30 June - 2 July 2010, London, UK.

Riley, Mike J. W., Jenkins, Karl W. and Thompson, Chris P. (2010) A study of early stopping, ensembling, and patchworking for cascade correlation neural networks. International Journal of Applied Mathematics, 40 (4). pp. 307-316. ISSN 1992-9978

Echocardiography

Azarmehr, Neda, Ye, Xujiong, Janan, Faraz, Howard, James P, Francis, Darrel P and Zolgharni, Massoud (2019) Automated Segmentation of Left Ventricle in 2D echocardiography using deep learning. In: Medical Imaging with Deep Learning 2019, 8-10th July 2019, London.

Embedded system

Meng, Hongying, Freeman, Micheal, Pears, Nick and Bailey, Chris (2008) FPGA implementation of real-time human motion recognition on a reconfigurable video processing architecture. Journal of Real-time Image Processing, 3 (3). pp. 163-176. ISSN 1861-8200

Meng, Hongying, Pears, Nick, Freeman, Michael and Bailey, Chris (2008) Motion history histograms for human action recognition. In: Embedded Computer Vision (Advances in Pattern Recognition). Springer, UK. ISBN 9781848003033

Empowerment

Gabriel, A., Akrour, R., Peters, J. and Neumann, G. (2017) Empowered skills. In: International Conference on Robotics and Automation (ICRA), 29 May - 3 June 2017, Sands Expo and Convention Centre, Marina Bay Sands in Singapore.

End-to-end evaluation

Cuayahuitl, Heriberto, Renals, Steve, Lemon, Oliver and Shimodaira, Hiroshi (2010) Evaluation of a hierarchical reinforcement learning spoken dialogue system. Computer Speech & Language, 24 (2). pp. 395-429. ISSN 0885-2308

Energy disaggregation

Barber, Jack, Cuayahuitl, Heriberto, Zhong, Mingjun and Luan, Wempen (2020) Lightweight Non-Intrusive Load Monitoring Employing Pruned Sequence-to-Point Learning. In: 5th International Workshop on Non-Intrusive Load Monitoring, 18 November 2020, co-located with ACM BuildSys 2020.

Engineering & Technology

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

Ensembling

Riley, Mike J. W., Jenkins, Karl W. and Thompson, Chris P. (2010) A study of early stopping, ensembling, and patchworking for cascade correlation neural networks. International Journal of Applied Mathematics, 40 (4). pp. 307-316. ISSN 1992-9978

Environment

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

Evaluation

Cuayahuitl, Heriberto (2011) Spatially-aware dialogue control using hierarchical reinforcement learning. ACM Transactions on Speech and Language Processing (TSLP), 7 (3). ISSN 1550-4875

Cuayahuitl, Heriberto, Kruijff-Korbayová, Ivana and Dethlefs, Nina (2014) Nonstrict hierarchical reinforcement learning for interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). p. 15. ISSN 2160-6455

Dethlefs, Nina and Cuayahuitl, Heriberto (2014) Hierarchical reinforcement learning for situated language generation. Natural Language Engineering, 21 (3). pp. 391-435. ISSN 1351-3249

Evolutionary Strategy

Abdolmaleki, Abbas, Price, Bob, Lau, Nuno, Reis, Luis Paulo and Neumann, Gerhard (2017) Deriving and improving CMA-ES with Information geometric trust regions. In: The Genetic and Evolutionary Computation Conference (GECCO 2017), 15-19 July 2017, Berlin, Germany.

Evolutionary computation

Gong, Liyun, Mu, tingting, Wang, Meng, Liu, Hengchang and Y. Goulermas, John (2018) Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing, 272 . pp. 237-249. ISSN 0925-2312

Explainable AI

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (SWARM2021), 01-04 Jun 2021, Kyoto, Japan.

FPGA

Meng, Hongying, Freeman, Micheal, Pears, Nick and Bailey, Chris (2008) FPGA implementation of real-time human motion recognition on a reconfigurable video processing architecture. Journal of Real-time Image Processing, 3 (3). pp. 163-176. ISSN 1861-8200

Meng, Hongying, Pears, Nick, Freeman, Michael and Bailey, Chris (2008) Motion history histograms for human action recognition. In: Embedded Computer Vision (Advances in Pattern Recognition). Springer, UK. ISBN 9781848003033

FSD Collection

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

Failure Detection and Recovery

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Fault Diagnosis

Huang, Jianfeng, Chen, Guohua, Shu, Lei, Wang, Shihua and Zhang, Yu (2016) An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals. IEEE Access, 4 . pp. 1800-1809. ISSN 2169-3536

Feature Extraction

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Feature selection

Hunter, Andrew (2000) Feature selection using genetic algorithms and probabilistic neural networks. Neural Computing & Applications, 9 (2). pp. 124-132. ISSN 0941-0643

Filtering

Gebhardt, G. H. W., Kupcsik, A. and Neumann, G. (2017) The kernel Kalman rule: efficient nonparametric inference with recursive least squares. In: Thirty-First AAAI Conference on Artificial Intelligence, 4 - 9 February 2017, San Francisco, California, USA.

Food Manufacturing

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2018) An adaptable deep learning system for optical character verification in retail food packaging. 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) . pp. 1-8. ISSN 2473-4691

Force and Tactile Sensing

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Framework

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2017) A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine, 90 . pp. 98-115. ISSN 0010-4825

Fruit Image Data

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Full blood count

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

Gas turbine

Zhang, Yu (2018) A brief review of condition monitoring techniques for gas turbines. Power Engineer . pp. 15-21. ISSN 1367-191X

Gaussian Processes

Kucukyilmaz, Ayse and Demiris, Yiannis (2015) One-shot assistance estimation from expert demonstrations for a shared control wheelchair system. In: 24th IEEE International Symposium on Robot and Human Interactive Communication 2015 (RO-MAN'15), 31 August - 4 September 2015, Kobe, Japan.

Kupcsik, A., Deisenroth, M. P., Peters, J., Loh, A. P., Vadakkepat, P. and Neumann, G. (2017) Model-based contextual policy search for data-efficient generalization of robot skills. Artificial Intelligence, 247 . pp. 415-439. ISSN 0004-3702

Gaussian mixture model

Zhang, Yu, Bingham, Chris, Gallimore, Michael and Cox, Darren (2015) Novelty detection based on extensions of GMMs for industrial gas turbines. In: IEEE international conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 12-14 June, 2015, Shenzhen, China.

Gene expression

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Genetic Programming

Hunter, Andrew (2002) Expression inference - genetic symbolic classification integrated with non-linear coefficient optimisation. In: Joint International Conferences, AISC 2002 & Calculemus 2002, 1-5 July 2002, Marseilles, France.

Ni, Ji, Drieberg, Russ H. and Rockett, Peter I. (2013) The use of an analytic quotient operator in genetic programming. IEEE Transactions on Evolutionary Computation, 17 (1). pp. 146-152. ISSN 1089-778X

Genetic algorithms

Emmanouilidis, Christos, Hunter, Andrew, MacIntyre, John and Cox, Chris (1999) Selecting features in neurofuzzy modelling by multi-objective genetic algorithms. In: ICANN 1999, 7-10 September 1999, Edinburgh.

Emmanoulidis, Christos and Hunter, Andrew (2000) A comparison of crossover operators in neural network feature selection with multiobjective evolutionary algorithms. In: Genetic and Evolutionary Computation Conference GECCO 2000, 8-12 July 2000, Las Vegas, USA.

Hunter, Andrew (2000) Feature selection using genetic algorithms and probabilistic neural networks. Neural Computing & Applications, 9 (2). pp. 124-132. ISSN 0941-0643

Genetic programming

Ni, Ji and Rockett, Peter (2015) Training genetic programming classifiers by vicinal-risk minimization. Genetic Programming and Evolvable Machine, 16 (1). pp. 3-25. ISSN 1389-2576

Geography

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

Grasping

Osa, T., Peters, J. and Neumann, G. (2016) Experiments with hierarchical reinforcement learning of multiple grasping policies. In: Proceedings of the International Symposium on Experimental Robotics (ISER), 3 - 6 October 2016, Tokyo, Japan.

Grasshoppers

Chudzik, Piotr, Mitchell, Arthur, Alkaseem, Mohammad, Wu, Yingie, Fang, Shibo, Hudaib, Taghread, Pearson, Simon and Al-Diri, Bashir (2020) Mobile Real-Time Grasshopper Detection and Data Aggregation Framework. Scientific Reports, 10 . p. 1150. ISSN 2045-2322

Group Extraction

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

HCI

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

HRI

Zillich, Michael, Zhou, Kai, Skocaj, Danijel, Kristan, Matej, Vrecko, Alen, Mahnic, Marko, Janicek, Miroslav, Kruijff, Geert-Jan M., Keller, Thomas, Hanheide, Marc and Hawes, Nick (2013) Robot George: interactive continuous learning of visual concepts. In: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, March 3 - 6 2013, Tokyo.

Haptics and Haptic Interfaces

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Harr/LBP feature

Li, Xiaodong, Fox, Charles and Coutts, Shaun (2020) Deep learning for robotic strawberry harvesting. In: UKRAS20, 2020, Lincoln, UK.

Health care

Khan, Muhammed Salman, Yu, Miao, Feng, Pengming, Wang, Liang and Chambers, Jonathon (2015) An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Processing, 110 . pp. 199-210. ISSN 0165-1684

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen, Wang, Liang and Chambers, Jonathan (2012) Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Transactions on Information Technology in Biomedicine, 16 (6). pp. 1274-1286. ISSN 1089-7771

Yu, Miao, Yu, Yuanzhang, Rhuma, Adel, Naqvi, Syed Mohsen Raza, Wang, Liang and Chambers, Jonathon A. (2013) An online one class support vector machine based person-specific fall detection system for monitoring an elderly individual in a room environment. IEEE Journal of Biomedical and Health Informatics, 17 (6). pp. 1002-1014. ISSN 2168-2194

Healthcare

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Heat Exchanger

Huang, Jianfeng, Chen, Guohua, Shu, Lei, Wang, Shihua and Zhang, Yu (2016) An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals. IEEE Access, 4 . pp. 1800-1809. ISSN 2169-3536

Hierarchical Learning

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2016) Hierarchical relative entropy policy search. Journal of Machine Learning Research, 17 . pp. 1-50. ISSN 1532-4435

Daniel, Christian, Neumann, Gerhard and Peters, Jan (2012) Hierarchical relative entropy policy search. In: Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, 21 - 23 April 2012, La Palma, Canary Islands.

Hierarchical Policy Search

End, F., Akrour, R., Peters, J. and Neumann, G. (2017) Layered direct policy search for learning hierarchical skills. In: International Conference on Robotics and Automation (ICRA), 29 May - 3 June 2017, Marina Bay Sands in Singapore.

Hierarchical Reinforcement Learning

Daniel, C., van Hoof, H., Peters, J. and Neumann, G. (2016) Probabilistic inference for determining options in reinforcement learning. Machine Learning, 104 (2-3). pp. 337-357. ISSN 0885-6125

Hierarchical Robot Planning

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Human Activity Recognition

Coppola, Claudio, Cosar, Serhan, Faria, Diego and Bellotto, Nicola (2017) Automatic detection of human interactions from RGB-D data for social activity classification. In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 28 Aug - 1 Sep 2017, Lisbon.

Human Factors and Human-in-the-Loop

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Human Robot Collaboration

Maeda, Guilherme, Ewerton, Marco, Neumann, Gerhard, Lioutikov, Rudolf and Peters, Jan (2017) Phase estimation for fast action recognition and trajectory generation in human–robot collaboration. The International Journal of Robotics Research, 36 (13-14). pp. 1579-1594. ISSN 0278-3649

Human detection

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2020) Online Learning for 3D LiDAR-based Human Detection: Experimental Analysis of Point Cloud Clustering and Classification Methods. Autonomous Robots, 44 (2). pp. 147-164. ISSN 0929-5593

Human language technology

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) Context incorporation using context-aware language features. In: European Conference on Signal Processing, 28/8-2/9/2017, Kos, Greece.

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From HCI and affective computing to sentiment analysis: extending the pool of context-aware features in affective-aware systems. In: 8th International Conference on Human Factors and Ergonomics 2017, 17-21 July 2017, Los Angeles, CA, USA.

Human tracking

Coşar, Serhan and Çetin, Müjdat (2015) Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Computer Vision and Image Understanding, 139 . pp. 40-58. ISSN 1077-3142

Human-Robot Collaboration

Maeda, G., Ewerton, M., Lioutikov, R., Ben Amor, H., Peters, J. and Neumann, G. (2014) Learning interaction for collaborative tasks with probabilistic movement primitives. In: 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 18 - 20 November 2014, Madrid, Spain.

Maeda, G. J., Neumann, G., Ewerton, M., Lioutikov, R., Kroemer, O. and Peters, J. (2017) Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks. Autonomous Robots, 41 (3). pp. 593-612. ISSN 0929-5593

Human-Robot Interaction

Ben Amor, H., Neumann, Gerhard, Kamthe, S., Kroemer, O. and Peters, J. (2014) Interaction primitives for human-robot cooperation tasks. In: 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), 31 May - 7 June 2014, Hong Kong.

Human-robot interaction

Senft, Emmanuel, Lemaignan, Severin, Baxter, Paul and Belpaeme, Tony (2018) From Evaluating to Teaching: Rewards and Challenges of Human Control for Learning Robots. In: IROS 2018 Workshop on Human/Robot in the Loop Machine Learning, 1st October 2018, Madrid, Spain.

Human–robot interaction

Martinez Mozos, Oscar, Triebel, Rudolph, Jensfelt, Patric, Rottmann, Axel and Burgard, Wolfram (2007) Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems (RAS), 55 (5). pp. 391-402. ISSN 0921-8890

Image Processing

Meng, Hongying, Pears, Nick and Bailey, Chris (2008) Motion feature combination for human action recognition in video. In: Computer Vision and Computer Graphics. Theory and Application. Springer, Berlin Heidelberg, pp. 151-163. ISBN 978-3-540-89681-4

Imitation Learning

Ben Amor, H., Neumann, Gerhard, Kamthe, S., Kroemer, O. and Peters, J. (2014) Interaction primitives for human-robot cooperation tasks. In: 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), 31 May - 7 June 2014, Hong Kong.

Maeda, Guilherme, Ewerton, Marco, Neumann, Gerhard, Lioutikov, Rudolf and Peters, Jan (2017) Phase estimation for fast action recognition and trajectory generation in human–robot collaboration. The International Journal of Robotics Research, 36 (13-14). pp. 1579-1594. ISSN 0278-3649

Indoor wayfinding

Cuayahuitl, Heriberto (2011) Spatially-aware dialogue control using hierarchical reinforcement learning. ACM Transactions on Speech and Language Processing (TSLP), 7 (3). ISSN 1550-4875

Industrial engineering

Cuayahuitl, Heriberto, Kruijff-Korbayová, Ivana and Dethlefs, Nina (2014) Nonstrict hierarchical reinforcement learning for interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). p. 15. ISSN 2160-6455

Industrial gas turbine

Zhang, Yu, Martinez, Miguel, Garlick, Mike, Latimer, Anthony and Cruz-Manzo, Samuel (2017) Condition monitoring of combustion system on industrial gas turbines based on trend and noise analysis. In: ASME TURBO EXPO 2017: Turbomachinery Technical Conference & Exposition, 26-30 June, 2017, Charlotte, NC USA.

Information Retrieval

Mohtasseb, Haytham and Ahmed, Amr (2009) Mining online diaries for blogger identification. In: The 2009 International Conference of Data Mining and Knowledge Engineering - The World Congress on Engineering, 1 - 3 July, 2009, London, UK.

Information Theory

Abdolmaleki, A., Lioutikov, R., Lua, N., Paulo Reis, L., Peters, J. and Neumann, G. (2016) Model-based relative entropy stochastic search. In: Advances in Neural Information Processing Systems (NIPS), 20 - 24 July 2016, Denver, CO.

Van Hoof, Herke, Peters, Jan and Neumann, Gerhard (2015) Learning of non-parametric control policies with high-dimensional state features. Journal of Machine Learning Research: Workshop and Conference Proceedings, 38 . pp. 995-1003. ISSN 1532-4435

Informative Path Planning

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Initialization

Gong, Liyun, Mu, tingting, Wang, Meng, Liu, Hengchang and Y. Goulermas, John (2018) Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing, 272 . pp. 237-249. ISSN 0925-2312

Instrumented vehicle data

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Interaction Learning

Maeda, G., Ewerton, M., Lioutikov, R., Ben Amor, H., Peters, J. and Neumann, G. (2014) Learning interaction for collaborative tasks with probabilistic movement primitives. In: 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 18 - 20 November 2014, Madrid, Spain.

Maeda, G. J., Neumann, G., Ewerton, M., Lioutikov, R., Kroemer, O. and Peters, J. (2017) Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks. Autonomous Robots, 41 (3). pp. 593-612. ISSN 0929-5593

Interactive Robots

Cuayahuitl, Heriberto (2017) Deep reinforcement learning for conversational robots playing games. In: IEEE RAS International Conference on Humanoid Robots, 15 - 17 November 2017, REP Theatre, Birmingham, UK.

Interactive robots

Cuayahuitl, Heriberto, Frommberger, Lutz, Dethlefs, Nina, Raux, Antoine, Marge, Mathew and Zender, Hendrik (2014) Introduction to the special issue on Machine learning for multiple modalities in interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). 12e. ISSN 2160-6455

Cuayahuitl, Heriberto, Kruijff-Korbayová, Ivana and Dethlefs, Nina (2014) Nonstrict hierarchical reinforcement learning for interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). p. 15. ISSN 2160-6455

Interest point detectors

Gil, Arturo, Martinez Mozos, Oscar, Ballesta, Monica and Reinoso, Oscar (2010) A comparative evaluation of interest point detectors and local descriptors for visual SLAM. Machine Vision and Applications (MVA), 21 (6). pp. 905-920. ISSN 0932-8092

Internet

Martinez Mozos, Oscar, Marton, Zoltan-Csaba and Beetz, Michael (2011) Furniture models learned from the WWW: using web catalogs to locate and categorize unknown furniture pieces in 3D laser scans. Robotics & Automation Magazine, 18 (2). 22 - 32. ISSN 1070-9932

Internet of Things (IoT)

Onoufriou, George, Bickerton, Ronald, Pearson, Simon and Leontidis, Georgios (2019) Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. Computers in Industry, 113 . p. 103133. ISSN 0166-3615

JCNotOpen

Ni, Ji and Rockett, Peter (2015) Training genetic programming classifiers by vicinal-risk minimization. Genetic Programming and Evolvable Machine, 16 (1). pp. 3-25. ISSN 1389-2576

JCOpen

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2016) Hierarchical relative entropy policy search. Journal of Machine Learning Research, 17 . pp. 1-50. ISSN 1532-4435

Dann, C., Neumann, G. and Peters, J. (2014) Policy evaluation with temporal differences: a survey and comparison. Journal of Machine Learning Research, 15 . pp. 809-883. ISSN 1532-4435

Khan, Muhammed Salman, Yu, Miao, Feng, Pengming, Wang, Liang and Chambers, Jonathon (2015) An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Processing, 110 . pp. 199-210. ISSN 0165-1684

Neumann, G., Daniel, C., Paraschos, A., Kupcsik, A. and Peters, J. (2014) Learning modular policies for robotics. Frontiers in Computational Neuroscience, 8 (JUN). ISSN 1662-5188

Van Hoof, Herke, Peters, Jan and Neumann, Gerhard (2015) Learning of non-parametric control policies with high-dimensional state features. Journal of Machine Learning Research: Workshop and Conference Proceedings, 38 . pp. 995-1003. ISSN 1532-4435

K-means clustering

Gong, Liyun and K. Nandi, Asoke (2013) An enhanced initialization method for non-negative matrix factorization. In: Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on, 22 - 25 Sept 2013, Chilworth, Southampton.

Kalman Filtering

Becker, Philipp, Pandya, Harit, Gebhardt, Gregor, Zhao, Cheng, Taylor, C. James and Neumann, Gerhard (2019) Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. In: Proceedings of the 36th International Conference on Machine Learning, 9th - 15th June 2019, California, USA.

Kernel

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Kernel-Based Methods

Gebhardt, G. H. W., Kupcsik, A. and Neumann, G. (2017) The kernel Kalman rule: efficient nonparametric inference with recursive least squares. In: Thirty-First AAAI Conference on Artificial Intelligence, 4 - 9 February 2017, San Francisco, California, USA.

Kinect sensor

Martinez Mozos, Oscar, Mizutani, Hitoshi, Kurazume, Ryo and Hasegawa, Tsutomu (2012) Categorization of indoor places using the Kinect sensor. Sensors, 12 (5). pp. 6695-6711. ISSN 1424-8220

Knowledge Discovery

Triebel, Rudolph, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Collective classification for labeling of places and objects in 2D and 3D range data. In: Data analysis, machine learning and applications. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Germany, pp. 293-300. ISBN 9783540782391, 9783540782469

LSTM

Maleki, Sepehr, Maleki, Sasan and Jennings, Nicholas R. (2021) Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering. Applied Soft Computing, 108 . p. 107443. ISSN 1568-4946

Landing of Unmanned Aerial Vehicle

Polvara, Riccardo, Patacchiola, Massimiliano, Hanheide, Marc and Neumann, Gerhard (2020) Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics, 9 (1). ISSN 2218-6581

Language generation

Dethlefs, Nina and Cuayahuitl, Heriberto (2014) Hierarchical reinforcement learning for situated language generation. Natural Language Engineering, 21 (3). pp. 391-435. ISSN 1351-3249

Laser-based people detection

Martinez Mozos, Oscar, Kurazume, Ryo and Hasegawa, Tsutomu (2010) Multi-part people detection using 2D range data. International Journal of Social Robotics, 2 (1). pp. 31-40. ISSN 1875-4791

Learning and Adaptive Systems

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Learning from demonstration

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Legged locomotion

Thuruthel, T. G., Picardi, G., Iida, F., Laschi, C. and Calisti, M. (2021) Learning to stop: a unifying principle for legged locomotion in varying environments. Royal Society Open Science, 8 (4). ISSN 2054-5703

Life- logging Data.

Ni, Ji, Lambrou, Tryphon and Ye, Xujiong (2016) Learning from life-logging data by hybrid HMM: a case study on active states prediction. In: 12th international Conference on Biomedical Engineering Biomedical Engineering (BioMed 2016), 15-16 February, 2016, Innsbruck, Austria.

Local Search

Akrour, R., Sorokin, D., Peters, J. and Neumann, G. (2017) Local Bayesian optimization of motor skills. In: International Conference on Machine Learning (ICML), 6 - 11 August 2017, Sydney, Australia.

Local descriptors

Gil, Arturo, Martinez Mozos, Oscar, Ballesta, Monica and Reinoso, Oscar (2010) A comparative evaluation of interest point detectors and local descriptors for visual SLAM. Machine Vision and Applications (MVA), 21 (6). pp. 905-920. ISSN 0932-8092

Localization

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain, Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

Long-Term Autonomy

Del Duchetto, Francesco, Baxter, Paul and Hanheide, Marc (2020) Automatic Assessment and Learning of Robot Social Abilities. In: 2020 ACM/IEEE International Conference on Human-Robot Interaction, Pioneers Workshop.

MRI

Chang, Ken, Beers, Andrew, Bai, Harrison, Brown, James M, Ly, K Ina, Li, Xuejun, Senders, Joeky, Kavouridis, Vasileois, Boaro, Alessandro, Su, Chang, Bi, Wenya Linda, Rapalino, Otto, Liao, Weihua, Shen, Qin, Zhou, Hao, Xiao, Bo, Wang, Yinyan, Zhang, Paul J, Pinho, Marco C, Wen, Patrick Y, Batchelor, Tracy T, Boxerman, Jerrold L, Arnaout, Omar, Rosen, Bruce R, Gerstner, Elizabeth R, Yang, Li, Huang, Raymond Y and Kalpathy-Cramer, Jayashree (2019) Automatic assessment of glioma burden: A deep learning algorithm for fully automated volumetric and bi-dimensional measurement. Neuro-Oncology, 21 (11). pp. 1412-1422. ISSN 1522-8517

Machine Learning

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

Barnes, Michael, Cielniak, Grzegorz and Duckett, Tom (2010) Minimalist AdaBoost for blemish identification in potatoes. In: International Conference on Computer Vision and Graphics 2010, Sep 20-22 2010, PJIIT - Polish-Japanese Institute of Information Technology, Warsaw, Poland.

Brandherm, F., Peters, J., Neumann, Gerhard and Akrour, R. (2019) Learning Replanning Policies with Direct Policy Search. IEEE Robotics and Automation Letters (RA-L), 4 (2). 2196 -2203. ISSN 2377-3766

Caliva, Francesco, De Sousa Ribeiro, Fabio, Mylonakis, Antonios, Demaziere, Christophe, Vinai, Paolo, Leontidis, Georgios and Kollias, Stefanos (2018) A deep learning approach to anomaly detection in nuclear reactors. 2018 International Joint Conference on Neural Networks (IJCNN) . ISSN 2161-4393

Cuayahuitl, Heriberto, Frommberger, Lutz, Dethlefs, Nina, Raux, Antoine, Marge, Mathew and Zender, Hendrik (2014) Introduction to the special issue on Machine learning for multiple modalities in interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). 12e. ISSN 2160-6455

Cuayahuitl, Heriberto, Kruijff-Korbayová, Ivana and Dethlefs, Nina (2014) Nonstrict hierarchical reinforcement learning for interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). p. 15. ISSN 2160-6455

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2020) Deep Bayesian Self-Training. Neural Computing and Applications, 32 (9). pp. 4275-4291. ISSN 0941-0643

Demaziere, Christophe, Mylonakis, Antonios, Vinai, Paolo, Durrant, Aiden, De Sousa Ribeiro, Fabio, Wingate, James, Leontidis, Georgios and Kollias, Stefanos (2020) Neutron Noise-based Anomaly Classification and Localization using Machine Learning. In: International Conference on Physics of Reactors (PHYSOR) 2020.

Jayne, Crisina, Yue, Shigang and Iliadis, Lazaros (2012) Engineering applications of neural networks. Communications in computer and information science, 311 . Springer, Heidelberg. ISBN 9783642329081 (print), 9783642329098 (ebook)

Koley, Subha, Srivastava, Saket and Ghosal, Prasun (2018) Correlating Fatality Rate to Road Accidents in India: A Case Study using Big Data. In: IEEE International Symposium on Smart Electronic Systems, 17-19 Dec 2018, Hyderabad, India.

Kroemer, O., Van Hoof, H., Neumann, G. and Peters, J. (2014) Learning to predict phases of manipulation tasks as hidden states. In: 2014 IEEE International Conference on Robotics and Automation, 31 May - 7 June 2014, Hong Kong.

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2016) Exploiting the retinal vascular geometry in identifying the progression to diabetic retinopathy using penalized logistic regression and random forests. In: Emerging trends and advanced technologies for computational intelligence. Studies in Computational Intelligence, 647 . Springer International Publishing, Switzerland, pp. 381-400. ISBN 9783319333533, 9783319333519

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2017) A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine, 90 . pp. 98-115. ISSN 0010-4825

Leontidis, Georgios, Al-Diri, Bashir, Wigdahl, Jeffrey and Hunter, Andrew (2015) Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 25-29 August, 2015, Milan, Italy.

Maleki, Sepehr and Bingham, Chris (2017) A one-class Clustering technique for Novelty Detection and Isolation in sensor networks. In: 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Meng, Hongying, Pears, Nick and Bailey, Chris (2008) Motion feature combination for human action recognition in video. In: Computer Vision and Computer Graphics. Theory and Application. Springer, Berlin Heidelberg, pp. 151-163. ISBN 978-3-540-89681-4

Mohtasseb, Haytham and Ahmed, Amr (2009) Mining online diaries for blogger identification. In: The 2009 International Conference of Data Mining and Knowledge Engineering - The World Congress on Engineering, 1 - 3 July, 2009, London, UK.

Mohtasseb, Haytham and Ahmed, Amr (2009) More blogging features for author identification. In: The 2009 International Conference on Knowledge Discovery (ICKD'09), 2009, Manila.

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

Ni, Ji, Lambrou, Tryphon and Ye, Xujiong (2016) Learning from life-logging data by hybrid HMM: a case study on active states prediction. In: 12th international Conference on Biomedical Engineering Biomedical Engineering (BioMed 2016), 15-16 February, 2016, Innsbruck, Austria.

Rahman, Ashiqur, Ahmed, Amr and Yue, Shigang (2017) Classification of Tongue - Glossitis Abnormality. Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering . pp. 1-4. ISSN 2078-0958

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

Machine fault detection

Zhang, Yu, Bingham, Chris, Yang, Zhijing, Ling, Wing-Kuen and Gallimore, Michael (2014) Machine fault detection by signal denoising—with application to industrial gas turbines. Measurement, 58 . pp. 230-240. ISSN 0263-2241

Machine learning

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Li, Matthew D, Chang, Ken, Bearce, Ben, Chang, Connie Y, Huang, Ambrose J, Campbell, J Peter, Brown, James M, Singh, Praveer, Hoebel, Katharina V, Erdoğmuş, Deniz, Ioannidis, Stratis, Palmer, William E, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2020) Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine, 3 (48). ISSN 2398-6352

Liu, Daqi, Bellotto, Nicola and Yue, Shigang (2020) Deep Spiking Neural Network for Video-based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems, 31 (6). pp. 1843-1855. ISSN 2162-237X

Maleki, Sepehr, Maleki, Sasan and Jennings, Nicholas R. (2021) Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering. Applied Soft Computing, 108 . p. 107443. ISSN 1568-4946

Pantazi, Xanthoula Eirini, Moshou, Dimitrios and Bochtis, Dionysis (2020) Intelligent Data Mining and Fusion Systems in Agriculture. Elsevier. ISBN UNSPECIFIED

Rossetti, Damiano, Squartini, Stefano, Collura, Stefano and Zhang, Yu (2018) Power plant condition monitoring by means of coal powder granulometry classification. Measurement, 123 . pp. 39-47. ISSN 0263-2241

Manipulation

Kroemer, O., Van Hoof, H., Neumann, G. and Peters, J. (2014) Learning to predict phases of manipulation tasks as hidden states. In: 2014 IEEE International Conference on Robotics and Automation, 31 May - 7 June 2014, Hong Kong.

Markov Decision Process

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Markov Logic Networks

Fernandez-Carmona, Manuel and Bellotto, Nicola (2016) On-line inference comparison with Markov Logic Network engines for activity recognition in AAL environments. In: IEEE International Conference on Intelligent Environments, 14-16 September 2016, London.

Medical Image Processing.

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

Medical imaging

Li, Matthew D, Chang, Ken, Bearce, Ben, Chang, Connie Y, Huang, Ambrose J, Campbell, J Peter, Brown, James M, Singh, Praveer, Hoebel, Katharina V, Erdoğmuş, Deniz, Ioannidis, Stratis, Palmer, William E, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2020) Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine, 3 (48). ISSN 2398-6352

Mixture of Gaussians

Arenz, O., Zhong, M. and Neumann, Gerhard (2018) Efficient Gradient-Free Variational Inference using Policy Search. In: Proceedings of the International Conference on Machine Learning.

Mobile Robot Navigation.

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Mobile applications

Chudzik, Piotr, Mitchell, Arthur, Alkaseem, Mohammad, Wu, Yingie, Fang, Shibo, Hudaib, Taghread, Pearson, Simon and Al-Diri, Bashir (2020) Mobile Real-Time Grasshopper Detection and Data Aggregation Framework. Scientific Reports, 10 . p. 1150. ISSN 2045-2322

Mobile robotics

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Martinez Mozos, Oscar (2010) Semantic labeling of places with mobile robots. Springer Tracts in Advanced Robotics (STAR), 61 . Springer Berlin Heidelberg, Germany. ISBN 9783642112102, 9783642112096

Mobile robots

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Model-Based

Kupcsik, A., Deisenroth, M. P., Peters, J., Loh, A. P., Vadakkepat, P. and Neumann, G. (2017) Model-based contextual policy search for data-efficient generalization of robot skills. Artificial Intelligence, 247 . pp. 415-439. ISSN 0004-3702

Modelling.

Thuruthel, T. G., Picardi, G., Iida, F., Laschi, C. and Calisti, M. (2021) Learning to stop: a unifying principle for legged locomotion in varying environments. Royal Society Open Science, 8 (4). ISSN 2054-5703

Modularity

Neumann, G., Daniel, C., Paraschos, A., Kupcsik, A. and Peters, J. (2014) Learning modular policies for robotics. Frontiers in Computational Neuroscience, 8 (JUN). ISSN 1662-5188

Motor Primitiives

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2013) Learning sequential motor tasks. In: IEEE International Conference on Robotics and Automation, 6 - 10 May 2013, Karlsruhe, Germany.

Motor Skill Learning

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2013) Learning sequential motor tasks. In: IEEE International Conference on Robotics and Automation, 6 - 10 May 2013, Karlsruhe, Germany.

End, F., Akrour, R., Peters, J. and Neumann, G. (2017) Layered direct policy search for learning hierarchical skills. In: International Conference on Robotics and Automation (ICRA), 29 May - 3 June 2017, Marina Bay Sands in Singapore.

Gabriel, A., Akrour, R., Peters, J. and Neumann, G. (2017) Empowered skills. In: International Conference on Robotics and Automation (ICRA), 29 May - 3 June 2017, Sands Expo and Convention Centre, Marina Bay Sands in Singapore.

Motor Skills Learning

Daniel, C., Neumann, G. and Peters, J. (2012) Learning concurrent motor skills in versatile solution spaces. In: International Conference on Intelligent Robot Systems (IROS), 7 - 12 October 2012, Vilamoura, Algarve Portugal.

Movement Control

Neumann, G., Daniel, C., Paraschos, A., Kupcsik, A. and Peters, J. (2014) Learning modular policies for robotics. Frontiers in Computational Neuroscience, 8 (JUN). ISSN 1662-5188

Movement Generation

Paraschos, A., Daniel, C., Peters, J. and Neumann, G. (2013) Probabilistic movement primitives. In: Advances in Neural Information Processing Systems, (NIPS), 5 - 10 December 2013, Harrahs and Harveys, Lake Tahoe.

Movement Primitives

Ben Amor, H., Neumann, Gerhard, Kamthe, S., Kroemer, O. and Peters, J. (2014) Interaction primitives for human-robot cooperation tasks. In: 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), 31 May - 7 June 2014, Hong Kong.

Maeda, G., Ewerton, M., Lioutikov, R., Ben Amor, H., Peters, J. and Neumann, G. (2014) Learning interaction for collaborative tasks with probabilistic movement primitives. In: 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 18 - 20 November 2014, Madrid, Spain.

Maeda, G. J., Neumann, G., Ewerton, M., Lioutikov, R., Kroemer, O. and Peters, J. (2017) Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks. Autonomous Robots, 41 (3). pp. 593-612. ISSN 0929-5593

Maeda, Guilherme, Ewerton, Marco, Neumann, Gerhard, Lioutikov, Rudolf and Peters, Jan (2017) Phase estimation for fast action recognition and trajectory generation in human–robot collaboration. The International Journal of Robotics Research, 36 (13-14). pp. 1579-1594. ISSN 0278-3649

Modugno, V., Neumann, Gerhard, Rueckert, E., Oriolo, G., Peters, J. and Ivaldi, S. (2016) Learning soft task priorities for control of redundant robots. In: IEEE International Conference on Robotics and Automation (ICRA) 2016, 16-21 May 2016, Stockholm, Sweden.

Neumann, Gerhard, Maass, W. and Peters, J. (2009) Learning complex motions by sequencing simpler motion templates. In: 26th Annual International Conference on Machine Learning (ICML 2009), 14-18 June 2009, Montreal, QC; Canada.

Paraschos, A., Daniel, C., Peters, J. and Neumann, G. (2013) Probabilistic movement primitives. In: Advances in Neural Information Processing Systems, (NIPS), 5 - 10 December 2013, Harrahs and Harveys, Lake Tahoe.

Paraschos, A., Rueckert, E., Peters, J. and Neumann, G. (2015) Model-free Probabilistic Movement Primitives for physical interaction. In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 28 September - 2 October 2015, Hamburg, Germany.

Movement Segmentation

Lioutikov, R., Neumann, G., Maeda, G. and Peters, J. (2015) Probabilistic segmentation applied to an assembly task. In: 15th IEEE-RAS International Conference on Humanoid Robots, 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Movement Skill Learning

Modugno, V., Neumann, Gerhard, Rueckert, E., Oriolo, G., Peters, J. and Ivaldi, S. (2016) Learning soft task priorities for control of redundant robots. In: IEEE International Conference on Robotics and Automation (ICRA) 2016, 16-21 May 2016, Stockholm, Sweden.

Movie Reviews Dataset

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

Multi-Task Learning

Abdolmaleki, A., Lau, N., Reis, L.P. and Neumann, G. (2016) Non-parametric contextual stochastic search. In: Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 9 - 15 October 2016, Daejeon, Korea.

Abdolmaleki, A., Price, B., Lau, N., Reis, P. and Neumann, G. (2017) Contextual CMA-ES. In: International Joint Conference on Artificial Intelligence (IJCAI), 22 - 25 August 2017, Melbourne, Australia.

Abdolmaleki, Abbas, Lau, Nuno, Reis, Luis Paulo, Peters, Jan and Neumann, Gerhard (2016) Contextual policy search for linear and nonlinear generalization of a humanoid walking controller. Journal of Intelligent and Robotic Systems: Theory and Applications, 83 (3). pp. 393-408. ISSN 0921-0296

Kupcsik, A., Deisenroth, M. P., Peters, J., Loh, A. P., Vadakkepat, P. and Neumann, G. (2017) Model-based contextual policy search for data-efficient generalization of robot skills. Artificial Intelligence, 247 . pp. 415-439. ISSN 0004-3702

Multi-part object detection

Martinez Mozos, Oscar, Kurazume, Ryo and Hasegawa, Tsutomu (2010) Multi-part people detection using 2D range data. International Journal of Social Robotics, 2 (1). pp. 31-40. ISSN 1875-4791

Multi-robot exploration

Stachniss, Cyrill, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Efficient exploration of unknown indoor environments using a team of mobile robots. Annals of Mathematics and Artificial Intelligence (AMAI), 52 (2-4). pp. 205-227. ISSN 1012-2443

Multimedia metrics

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) MM2RTB: bringing multimedia metrics to real-time bidding. In: KDD Workshop, 13 - 17 August, 2017, Halifax, Nova Scotia, Canada.

Multimodal interaction

Cuayahuitl, Heriberto, Frommberger, Lutz, Dethlefs, Nina, Raux, Antoine, Marge, Mathew and Zender, Hendrik (2014) Introduction to the special issue on Machine learning for multiple modalities in interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). 12e. ISSN 2160-6455

Multinomial logit model

Kamrani, Mohsen, Srinivasan, Aravinda Ramakrishnan, Chakraborty, Subhadeep and Khattak, Asad J. (2020) Applying Markov decision process to understand driving decisions using basic safety messages data. Transportation Research Part C: Emerging Technologies, 115 . p. 102642. ISSN 0968-090X

Multiobjective evolutionary algorithm

Stewart, Paul, Stone, D. A. and Fleming, P.A. (2006) On-line multiobjective automatic control system generation by evolutionary algorithms. In: 2004 IEEE International Symposium on Industrial Electronics, 4-7 May 2004, Palais de Congres Expositions, Ajaccio, France.

Multiobjective genetic programming

Stewart, Paul, Stone, D. A. and Fleming, P.A. (2006) On-line multiobjective automatic control system generation by evolutionary algorithms. In: 2004 IEEE International Symposium on Industrial Electronics, 4-7 May 2004, Palais de Congres Expositions, Ajaccio, France.

Multiobjective optimisation

Hunter, Andrew (2002) Expression inference - genetic symbolic classification integrated with non-linear coefficient optimisation. In: Joint International Conferences, AISC 2002 & Calculemus 2002, 1-5 July 2002, Marseilles, France.

Stewart, Paul, Stone, D. A. and Fleming, P.A. (2006) On-line multiobjective automatic control system generation by evolutionary algorithms. In: 2004 IEEE International Symposium on Industrial Electronics, 4-7 May 2004, Palais de Congres Expositions, Ajaccio, France.

Multiple cue classification

Martinez Mozos, Oscar, Kurazume, Ryo and Hasegawa, Tsutomu (2010) Multi-part people detection using 2D range data. International Journal of Social Robotics, 2 (1). pp. 31-40. ISSN 1875-4791

Natural Language Processing

Dethlefs, Nina, Schoene, Annika and Cuayahuitl, Heriberto (2021) A Divide-and-Conquer Approach to Neural Natural Language Generation from Structured Data. Neurocomputing, 433 . pp. 300-309. ISSN 0925-2312

Navigation

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Networking

Zhivkov, Tsvetan, Gomez, Adrian, Gao, Junfeng, Sklar, Elizabeth and Parsons, Simon (2021) The need for speed: How 5G communication can support AI in the field. In: EPSRC UK-RAS Network (2021). UKRAS21 Conference: Robotics at home Proceedings, 02 June 2021, Virtual.

Neural Chatbots

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Cho, Yongjin, Choi, Sungja, Indurthi, Satish, Yu, Seunghak, Choi, Hyungtak, Hwang, Inchul and Kim, Jihie (2019) Ensemble-Based Deep Reinforcement Learning for Chatbots. Neurocomputing, 366 . pp. 118-130. ISSN 0925-2312

Neural Networks

Dethlefs, Nina, Schoene, Annika and Cuayahuitl, Heriberto (2021) A Divide-and-Conquer Approach to Neural Natural Language Generation from Structured Data. Neurocomputing, 433 . pp. 300-309. ISSN 0925-2312

Riley, Mike, Jenkins, Karl W. and Thompson, Chris P. (2010) Improving the performance of cascade correlation neural networks on multimodal functions. In: World Congress on Engineering 2010, 30 June - 2 July 2010, London, UK.

Neural network

Owens, Jonathan, Hunter, Andrew and Fletcher, Eric (2002) Novelty detection in video surveillance using hierarchical neural networks. In: ICANN, 27-30 August 2002, Madrid, Spain.

Neural networks

Emmanoulidis, Christos and Hunter, Andrew (2000) A comparison of crossover operators in neural network feature selection with multiobjective evolutionary algorithms. In: Genetic and Evolutionary Computation Conference GECCO 2000, 8-12 July 2000, Las Vegas, USA.

Indurthi, Satish, Yu, Seunghak, Back, Seohyun and Cuayahuitl, Heriberto (2018) Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. In: Empirical Methods in Natural Language Processing (EMNLP).

Jayne, Crisina, Yue, Shigang and Iliadis, Lazaros (2012) Engineering applications of neural networks. Communications in computer and information science, 311 . Springer, Heidelberg. ISBN 9783642329081 (print), 9783642329098 (ebook)

Li, Matthew D, Chang, Ken, Bearce, Ben, Chang, Connie Y, Huang, Ambrose J, Campbell, J Peter, Brown, James M, Singh, Praveer, Hoebel, Katharina V, Erdoğmuş, Deniz, Ioannidis, Stratis, Palmer, William E, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2020) Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine, 3 (48). ISSN 2398-6352

Neurofuzzy

Emmanouilidis, Christos, Hunter, Andrew, MacIntyre, John and Cox, Chris (1999) Selecting features in neurofuzzy modelling by multi-objective genetic algorithms. In: ICANN 1999, 7-10 September 1999, Edinburgh.

Neutron Noise

Demaziere, Christophe, Mylonakis, Antonios, Vinai, Paolo, Durrant, Aiden, De Sousa Ribeiro, Fabio, Wingate, James, Leontidis, Georgios and Kollias, Stefanos (2020) Neutron Noise-based Anomaly Classification and Localization using Machine Learning. In: International Conference on Physics of Reactors (PHYSOR) 2020.

Noise analysis

Zhang, Yu, Martinez, Miguel, Garlick, Mike, Latimer, Anthony and Cruz-Manzo, Samuel (2017) Condition monitoring of combustion system on industrial gas turbines based on trend and noise analysis. In: ASME TURBO EXPO 2017: Turbomachinery Technical Conference & Exposition, 26-30 June, 2017, Charlotte, NC USA.

Non-Parametric

Van Hoof, Herke, Peters, Jan and Neumann, Gerhard (2015) Learning of non-parametric control policies with high-dimensional state features. Journal of Machine Learning Research: Workshop and Conference Proceedings, 38 . pp. 995-1003. ISSN 1532-4435

Non-intrusive Load Monitoring

Zhong, Mingjun, Goddard, Nigel and Sutton, Charles (2014) Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation. In: NIPS Conference on Neural Information Processing Systems, 8 - 13 December 2014, Montreal, Canada.

Non-negative matrix factorization; Principal component analysis; Independent component analysis; Independent principal component analysis

Gong, Liyun and K. Nandi, Asoke (2013) Clustering by non-negative matrix factorization with independent principal component initialization. In: 21st European Signal Processing Conference (EUSIPCO 2013), 9 - 13 Sept 2013, Palais de Congres, Marrakech.

Nonnegative matrix factorization

Gong, Liyun and K. Nandi, Asoke (2013) An enhanced initialization method for non-negative matrix factorization. In: Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on, 22 - 25 Sept 2013, Chilworth, Southampton.

Gong, Liyun, Mu, tingting, Wang, Meng, Liu, Hengchang and Y. Goulermas, John (2018) Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing, 272 . pp. 237-249. ISSN 0925-2312

NotOAChecked

Abdolmaleki, Abbas, Lau, Nuno, Reis, Luis Paulo, Peters, Jan and Neumann, Gerhard (2016) Contextual policy search for linear and nonlinear generalization of a humanoid walking controller. Journal of Intelligent and Robotic Systems: Theory and Applications, 83 (3). pp. 393-408. ISSN 0921-0296

Coşar, Serhan and Çetin, Müjdat (2015) Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Computer Vision and Image Understanding, 139 . pp. 40-58. ISSN 1077-3142

Cuayahuitl, Heriberto, Frommberger, Lutz, Dethlefs, Nina, Raux, Antoine, Marge, Mathew and Zender, Hendrik (2014) Introduction to the special issue on Machine learning for multiple modalities in interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). 12e. ISSN 2160-6455

Cuayahuitl, Heriberto, Kruijff-Korbayová, Ivana and Dethlefs, Nina (2014) Nonstrict hierarchical reinforcement learning for interactive systems and robots. ACM Transactions on Interactive Intelligent Systems (TiiS), 4 (3). p. 15. ISSN 2160-6455

Daniel, C., van Hoof, H., Peters, J. and Neumann, G. (2016) Probabilistic inference for determining options in reinforcement learning. Machine Learning, 104 (2-3). pp. 337-357. ISSN 0885-6125

Dethlefs, Nina and Cuayahuitl, Heriberto (2014) Hierarchical reinforcement learning for situated language generation. Natural Language Engineering, 21 (3). pp. 391-435. ISSN 1351-3249

Huang, Jianfeng, Chen, Guohua, Shu, Lei, Wang, Shihua and Zhang, Yu (2016) An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals. IEEE Access, 4 . pp. 1800-1809. ISSN 2169-3536

Ni, Ji (2015) Tikhonov regularization as a complexity measure in multiobjective genetic programming. IEEE Transactions on Evolutionary Computation . ISSN 1089-778X

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

Zhang, Lei, Ye, Xujiong, Lambrou, Tryphon, Duan, Wenting, Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155

Zhang, Yu, Bingham, Chris, Yang, Zhijing, Ling, Wing-Kuen and Gallimore, Michael (2014) Machine fault detection by signal denoising—with application to industrial gas turbines. Measurement, 58 . pp. 230-240. ISSN 0263-2241

Nuclear Reactors

Caliva, Francesco, De Sousa Ribeiro, Fabio, Mylonakis, Antonios, Demaziere, Christophe, Vinai, Paolo, Leontidis, Georgios and Kollias, Stefanos (2018) A deep learning approach to anomaly detection in nuclear reactors. 2018 International Joint Conference on Neural Networks (IJCNN) . ISSN 2161-4393

Demaziere, Christophe, Mylonakis, Antonios, Vinai, Paolo, Durrant, Aiden, De Sousa Ribeiro, Fabio, Wingate, James, Leontidis, Georgios and Kollias, Stefanos (2020) Neutron Noise-based Anomaly Classification and Localization using Machine Learning. In: International Conference on Physics of Reactors (PHYSOR) 2020.

Online learning

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2020) Online Learning for 3D LiDAR-based Human Detection: Experimental Analysis of Point Cloud Clustering and Classification Methods. Autonomous Robots, 44 (2). pp. 147-164. ISSN 0929-5593

Ontology

Mohtasseb, Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.

Optic nerve head

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain, Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

Optical Character Verification

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2020) Deep Bayesian Self-Training. Neural Computing and Applications, 32 (9). pp. 4275-4291. ISSN 0941-0643

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2018) An adaptable deep learning system for optical character verification in retail food packaging. 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) . pp. 1-8. ISSN 2473-4691

Optimal Control

Gomez, Vincenc, Kappen, Hilbert J., Peters, Jan and Neumann, Gerhard (2014) Policy search for path integral control. In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML/PKDD 2014, 15 - 19 September 2014, Nancy, France.

Option Discovery

Daniel, C., van Hoof, H., Peters, J. and Neumann, G. (2016) Probabilistic inference for determining options in reinforcement learning. Machine Learning, 104 (2-3). pp. 337-357. ISSN 0885-6125

Oscillators

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Owens Tracker

Hunter, Andrew, Owens, Jonathan and Carpenter, M. (2003) A Neural System for Automated CCTV Surveillance. In: IEE Symposium Intelligent Distributed Surveillance Systems, 26 February 2003, London.

PCA

Liwicki, Stephan, Tzimiropoulos, Georgios, Zafeiriou, Stefanos and Pantic, Maja (2013) Euler principal component analysis. International Journal of Computer Vision, 101 (3). pp. 498-518. ISSN 0920-5691

Pareto dominance

Ni, Ji (2015) Tikhonov regularization as a complexity measure in multiobjective genetic programming. IEEE Transactions on Evolutionary Computation . ISSN 1089-778X

Parkinson's

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

Parkinson’s

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Particle size distribution

Rossetti, Damiano, Squartini, Stefano, Collura, Stefano and Zhang, Yu (2018) Power plant condition monitoring by means of coal powder granulometry classification. Measurement, 123 . pp. 39-47. ISSN 0263-2241

Partitioning algorithms

Fa, Rui, K.Nandi, Asoke and Gong, Liyun (2012) Clustering analysis for gene expression data: a methodological review. In: Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on, 2 - 4 May 2012, Aula Magna of the Universita degli Studi Roma TRE Roma, Italy.

Path Integrals

Gomez, Vincenc, Kappen, Hilbert J., Peters, Jan and Neumann, Gerhard (2014) Policy search for path integral control. In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML/PKDD 2014, 15 - 19 September 2014, Nancy, France.

Pattern Recognition

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Pattern recognition

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

People detection

Arras, Kai O., Lau, Boris, Grzonka, Slawomir, Luber, Matthias, Martinez Mozos, Oscar, Meyer-Delius, Daniel and Burgard, Wolfram (2012) Range-based people detection and tracking for socially enabled service robots. In: Towards service robots for everyday environments. Springer Tracts in Advanced Robotics (STAR), 76 . Springer, Germany, pp. 235-280. ISBN 9783642251153

Performance evaluation

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Physical Human-Human Interaction

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Physical Human-Robot Interaction

Kucukyilmaz, Ayse and Issak, Illimar (2019) Online Identification of Interaction Behaviors from Haptic Data during Collaborative Object Transfer. IEEE Robotics and Automation Letters . p. 1. ISSN 2377-3774

Physical Interaction

Paraschos, A., Rueckert, E., Peters, J. and Neumann, G. (2015) Model-free Probabilistic Movement Primitives for physical interaction. In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 28 September - 2 October 2015, Hamburg, Germany.

Piecewise Aggregate ApproximationPiecewise Aggregate Approximation

Gallimore, Michael, Riley, Mike and Bingham, Chris (2015) Self-Organizing Piecewise Aggregate Approximation algortihm for intelligent detection and diagnosis of heart conditions. In: International Conference on Medical and Health Sciences, 13th June 2015, Berlin, Germany.

Place categorization

Martinez Mozos, Oscar, Triebel, Rudolph, Jensfelt, Patric, Rottmann, Axel and Burgard, Wolfram (2007) Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems (RAS), 55 (5). pp. 391-402. ISSN 0921-8890

Planning

Osa, Takayuki, Ghalamzan Esfahani, Amir M., Stolkin, Rustam, Lioutikov, Rudolf, Peters, Jan and Neumann, Gerhard (2017) Guiding trajectory optimization by demonstrated distributions. IEEE Robotics and Automation Letters (RA-L), 2 (2). pp. 819-826. ISSN 2377-3766

Point cloud clustering

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2020) Online Learning for 3D LiDAR-based Human Detection: Experimental Analysis of Point Cloud Clustering and Classification Methods. Autonomous Robots, 44 (2). pp. 147-164. ISSN 0929-5593

Policy Evaluation

Dann, C., Neumann, G. and Peters, J. (2014) Policy evaluation with temporal differences: a survey and comparison. Journal of Machine Learning Research, 15 . pp. 809-883. ISSN 1532-4435

Policy Search

Abdolmaleki, A., Lau, N., Reis, L. P. and Neumann, G. (2015) Regularized covariance estimation for weighted maximum likelihood policy search methods. In: Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on, 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Abdolmaleki, A., Lau, N., Reis, L.P. and Neumann, G. (2016) Non-parametric contextual stochastic search. In: Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 9 - 15 October 2016, Daejeon, Korea.

Arenz, O., Zhong, M. and Neumann, Gerhard (2018) Efficient Gradient-Free Variational Inference using Policy Search. In: Proceedings of the International Conference on Machine Learning.

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2016) Hierarchical relative entropy policy search. Journal of Machine Learning Research, 17 . pp. 1-50. ISSN 1532-4435

Daniel, Christian, Neumann, Gerhard and Peters, Jan (2012) Hierarchical relative entropy policy search. In: Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, 21 - 23 April 2012, La Palma, Canary Islands.

Deisenroth, M. P., Neumann, G. and Peters, J. (2013) A survey on policy search for robotics. Foundations and Trends in Robotics, 2 (1-2). pp. 388-403. ISSN 1935-8253

Gomez, Vincenc, Kappen, Hilbert J., Peters, Jan and Neumann, Gerhard (2014) Policy search for path integral control. In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML/PKDD 2014, 15 - 19 September 2014, Nancy, France.

Kupcsik, A., Deisenroth, M. P., Peters, J., Loh, A. P., Vadakkepat, P. and Neumann, G. (2017) Model-based contextual policy search for data-efficient generalization of robot skills. Artificial Intelligence, 247 . pp. 415-439. ISSN 0004-3702

Kupcsik, A. G., Deisenroth, M. P., Peters, J. and Neumann, Gerhard (2013) Data-efficient generalization of robot skills with contextual policy search. Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013 . pp. 1401-1407. ISSN -

Luck, K. S., Neumann, G., Berger, E., Peters, J. and Amor, H. B. (2014) Latent space policy search for robotics. In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 14 - 18 September 2014, Chicago, Illinois.

Neumann, Gerhard (2011) Variational inference for policy search in changing situations. In: 28th International Conference on Machine Learning (ICML-11), 28 June - 2 July 2011, Bellevue, Washington, USA.

Tangkaratt, V., van Hoof, H., Parisi, S., Neumann, G., Peters, J. and Sugiyama, M. (2017) Policy search with high-dimensional context variables. In: AAAI Conference on Artificial Intelligence (AAAI), 4 - 9 February 2017, San Francisco, California, USA.

Potatoes

Barnes, Michael, Cielniak, Grzegorz and Duckett, Tom (2010) Minimalist AdaBoost for blemish identification in potatoes. In: International Conference on Computer Vision and Graphics 2010, Sep 20-22 2010, PJIIT - Polish-Japanese Institute of Information Technology, Warsaw, Poland.

Precision Agriculture

Pantazi, Xanthoula Eirini, Moshou, Dimitrios and Bochtis, Dionysis (2020) Intelligent Data Mining and Fusion Systems in Agriculture. Elsevier. ISBN UNSPECIFIED

Prediction

Kollias, Dimitrios, Tagaris, Athanasios, Stafylopatis, Andreas, Kollias, Stefanos and Tagaris, Georgios (2018) Deep neural architectures for prediction in healthcare. Complex & Intelligent Systems, 4 (2). pp. 119-131. ISSN 2199-4536

Preference Learning

Wirth, C., Furnkranz, J. and Neumann, G. (2016) Model-free preference-based reinforcement learning. In: Thirtieth AAAI Conference on Artificial Intelligence, 12 - 17 February 2016, Phoenix, United States.

Preference-based reinforcement learning

Wirth, Christian, Akrour, Riad, Neumann, Gerhard and Fürnkranz, Johannes (2017) A survey of preference-based reinforcement learning methods. Journal of Machine Learning Research, 18 (136). pp. 1-46. ISSN 1532-4435

Primary Systems Memory

Kollias, Dimitrios, Yu, Miao, Tagaris, Athanasios, Leontidis, Georgios, Kollias, Stefanos and Stafylopatis, Andreas-Georgios (2017) Adaptation and contextualization of deep neural network models. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8. ISBN UNSPECIFIED

Probabalistic neural networks

Hunter, Andrew (2000) Feature selection using genetic algorithms and probabilistic neural networks. Neural Computing & Applications, 9 (2). pp. 124-132. ISSN 0941-0643

Pseudo-marginal Markov Chain Monte Carlo Nonnegative matrix factorization Reversible jump Markov Chain Monte Carlo Importance sampling

Du, Junfu and Zhong, Mingjun (2016) Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization. Neural Processing Letters, 45 (10). pp. 553-562. ISSN 1370-4621

Pseudo-marginal Markov Chain Monte Carlo; Nonnegative matrix factorization; Reversible jump Markov Chain Monte Carlo

Du, Junfu and Zhong, Mingjun (2016) Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization. Neural Processing Letters, 45 (553). ISSN 1370-4621

Psycholinguistic

Mohtasseb, Haytham and Ahmed, Amr (2009) Mining online diaries for blogger identification. In: The 2009 International Conference of Data Mining and Knowledge Engineering - The World Congress on Engineering, 1 - 3 July, 2009, London, UK.

Mohtasseb, Haytham and Ahmed, Amr (2009) More blogging features for author identification. In: The 2009 International Conference on Knowledge Discovery (ICKD'09), 2009, Manila.

Mohtasseb, Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

RGB-D sensing

Coppola, Claudio, Cosar, Serhan, Faria, Diego and Bellotto, Nicola (2017) Automatic detection of human interactions from RGB-D data for social activity classification. In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 28 Aug - 1 Sep 2017, Lisbon.

ROC Curves

Hunter, Andrew (2002) Expression inference - genetic symbolic classification integrated with non-linear coefficient optimisation. In: Joint International Conferences, AISC 2002 & Calculemus 2002, 1-5 July 2002, Marseilles, France.

RST

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

Radiology

Fournier, L, Costaridou, L, Bidaut, Luc, Michoux, N, Lecouvet, F, de Geus-Oei, L-F, Boellaard, R, Oprea-Lager, D E, Obuchowski, N, Caroli, A, Kunz, W G, Oei, E H, O'Connor, J P B, Mayerhoefer, M E, Franca, M, Alberich-Bayarri, A, Deroose, C M, Loewe, C, Manniesing, R, Caramella, C, Lopci, E, Lassau, N, Persson, A, Achten, R, Rosendahl, K, Clement, O, Kotter, E, Golay, X, Smits, M, Dewey, M, Sullivan, D, van der Lugt, A and deSouza, N M (2021) Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically-driven quantitative biomarkers. European Radiology, 126 (5). 056001. ISSN 0938-7994

Random Forest

Rahman, Ashiqur, Ahmed, Amr and Yue, Shigang (2017) Classification of Tongue - Glossitis Abnormality. Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering . pp. 1-4. ISSN 2078-0958

Real-Time

Chudzik, Piotr, Mitchell, Arthur, Alkaseem, Mohammad, Wu, Yingie, Fang, Shibo, Hudaib, Taghread, Pearson, Simon and Al-Diri, Bashir (2020) Mobile Real-Time Grasshopper Detection and Data Aggregation Framework. Scientific Reports, 10 . p. 1150. ISSN 2045-2322

Real-time bidding

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) MM2RTB: bringing multimedia metrics to real-time bidding. In: KDD Workshop, 13 - 17 August, 2017, Halifax, Nova Scotia, Canada.

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) Optimizing trade-offs among stakeholders in real-time bidding by incorporating multimedia metrics. In: SIGIR, 7 - 11 August 2017, Tokyo.

Real-time systems

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Recurrent Neural Networks

Cuayahuitl, Heriberto, Ryu, Seonghan, Lee, Donghyeon and Kim, Jihie (2018) A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. In: NeurIPS Workshop on Conversational AI, 7 December 2018, Montreal, Canada.

Regression

Cuayahuitl, Heriberto, Ryu, Seonghan, Lee, Donghyeon and Kim, Jihie (2018) A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. In: NeurIPS Workshop on Conversational AI, 7 December 2018, Montreal, Canada.

Reinforcement Learning

Akrour, R., Abdolmaleki, A., Abdulsamad, H. and Neumann, G. (2016) Model-free trajectory optimization for reinforcement learning. In: 33rd International Conference on Machine Learning, 19 - 24 June 2016, New York.

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2016) Hierarchical relative entropy policy search. Journal of Machine Learning Research, 17 . pp. 1-50. ISSN 1532-4435

Daniel, Christian, Neumann, Gerhard and Peters, Jan (2012) Hierarchical relative entropy policy search. In: Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, 21 - 23 April 2012, La Palma, Canary Islands.

Dann, C., Neumann, G. and Peters, J. (2014) Policy evaluation with temporal differences: a survey and comparison. Journal of Machine Learning Research, 15 . pp. 809-883. ISSN 1532-4435

Deisenroth, M. P., Neumann, G. and Peters, J. (2013) A survey on policy search for robotics. Foundations and Trends in Robotics, 2 (1-2). pp. 388-403. ISSN 1935-8253

Del Duchetto, Francesco, Baxter, Paul and Hanheide, Marc (2020) Automatic Assessment and Learning of Robot Social Abilities. In: 2020 ACM/IEEE International Conference on Human-Robot Interaction, Pioneers Workshop.

Gebhardt, G. H. W., Daun, K., Schnaubelt, M. and Neumann, G. (2018) Learning robust policies for object manipulation with robot swarms. In: IEEE International Conference on Robotics and Automation, 21 - 25 May 2018, Brisbane, Australia.

Neumann, Gerhard and Peters, Jan (2009) Fitted Q-iteration by advantage weighted regression. In: Advances in Neural Information Processing Systems 22 (NIPS 2008), 8-11 December 2008, Vancouver, BC, Canada.

Osa, T., Peters, J. and Neumann, G. (2016) Experiments with hierarchical reinforcement learning of multiple grasping policies. In: Proceedings of the International Symposium on Experimental Robotics (ISER), 3 - 6 October 2016, Tokyo, Japan.

Osa, T., Peters, J. and Neumann, Gerhard (2018) Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions. Advanced Robotics, 32 (18). pp. 955-968. ISSN 0169-1864

Van Hoof, H., Hermans, T., Neumann, G. and Peters, J. (2015) Learning robot in-hand manipulation with tactile features. In: International Conference on Humanoid Robots (HUMANOIDS), 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Van Hoof, Herke, Peters, Jan and Neumann, Gerhard (2015) Learning of non-parametric control policies with high-dimensional state features. Journal of Machine Learning Research: Workshop and Conference Proceedings, 38 . pp. 995-1003. ISSN 1532-4435

Wirth, C., Furnkranz, J. and Neumann, G. (2016) Model-free preference-based reinforcement learning. In: Thirtieth AAAI Conference on Artificial Intelligence, 12 - 17 February 2016, Phoenix, United States.

Reinforcement learning

Arenz, Oleg, Neumann, Gerhard and Zhong, Mingjun (2018) Efficient Gradient-Free Variational Inference using Policy Search. Proceedings of the 35th International Conference on Machine Learning, 80 . pp. 234-243. ISSN 1938-7228

Cuayahuitl, Heriberto (2011) Spatially-aware dialogue control using hierarchical reinforcement learning. ACM Transactions on Speech and Language Processing (TSLP), 7 (3). ISSN 1550-4875

Cuayahuitl, Heriberto, Renals, Steve, Lemon, Oliver and Shimodaira, Hiroshi (2010) Evaluation of a hierarchical reinforcement learning spoken dialogue system. Computer Speech & Language, 24 (2). pp. 395-429. ISSN 0885-2308

Cuayáhuitl, Heriberto (2009) Hierarchical reinforcement learning for spoken dialogue systems. PhD thesis, The University of Edinburgh.

Dethlefs, Nina and Cuayahuitl, Heriberto (2014) Hierarchical reinforcement learning for situated language generation. Natural Language Engineering, 21 (3). pp. 391-435. ISSN 1351-3249

Lopez Zorrilla, Asier, Torres, M. Ines and Cuayahuitl, Heriberto (2021) Audio Embeddings Help to Learn Better Dialogue Policies. In: IEEE Automatic Speech Recognition and Understanding.

Reinfrocement Learning

Neumann, Gerhard, Maass, W. and Peters, J. (2009) Learning complex motions by sequencing simpler motion templates. In: 26th Annual International Conference on Machine Learning (ICML 2009), 14-18 June 2009, Montreal, QC; Canada.

Resistance breeding

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

Response Surface

Riley, Mike, Jenkins, Karl W. and Thompson, Chris P. (2010) Improving the performance of cascade correlation neural networks on multimodal functions. In: World Congress on Engineering 2010, 30 June - 2 July 2010, London, UK.

Retina

Leontidis, Georgios, Al-Diri, Bashir, Wigdahl, Jeffrey and Hunter, Andrew (2015) Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 25-29 August, 2015, Milan, Italy.

Retinal Image Analysis

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, R. V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F. (2018) Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

Retinal Spectral Domain Optical Coherence Tomography Images

Greenwood, Luke, Habib, Maged and Al-Diri, Bashir (2021) Semi-Automated Labelling of Cystoid Macular Edema in OCT Scans. Biomedical Journal of Scientific & Technical Research, 36 (4). pp. 28761-28767. ISSN 2574-1241

Retinal fundus image

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain, Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

Retinal optic disc

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain, Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

Reverse Geocoding

Koley, Subha, Srivastava, Saket and Ghosal, Prasun (2018) Correlating Fatality Rate to Road Accidents in India: A Case Study using Big Data. In: IEEE International Symposium on Smart Electronic Systems, 17-19 Dec 2018, Hyderabad, India.

Reward Function Learning

Cuayahuitl, Heriberto, Ryu, Seonghan, Lee, Donghyeon and Kim, Jihie (2018) A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. In: NeurIPS Workshop on Conversational AI, 7 December 2018, Montreal, Canada.

Reward Learning

Mohtasib, Abdalkarim, Ghalamzan Esfahani, Amir, Bellotto, Nicola and Cuayahuitl, Heriberto (2021) Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. In: International Joint Conference on Neural Networks (IJCNN).

Mohtasib, Abdalkarim, Neumann, Gerhard and Cuayahuitl, Heriberto (2021) A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. In: Towards Autonomous Robotic Systems Conference (TAROS).

Road Accidents

Koley, Subha, Srivastava, Saket and Ghosal, Prasun (2018) Correlating Fatality Rate to Road Accidents in India: A Case Study using Big Data. In: IEEE International Symposium on Smart Electronic Systems, 17-19 Dec 2018, Hyderabad, India.

Robot Learning

Mohtasib, Abdalkarim, Neumann, Gerhard and Cuayahuitl, Heriberto (2021) A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning. In: Towards Autonomous Robotic Systems Conference (TAROS).

Robot Skill Learning

Mohtasib, Abdalkarim, Ghalamzan Esfahani, Amir, Bellotto, Nicola and Cuayahuitl, Heriberto (2021) Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. In: International Joint Conference on Neural Networks (IJCNN).

Robot Soccer

Abdolmaleki, Abbas, Lau, Nuno, Reis, Luis Paulo, Peters, Jan and Neumann, Gerhard (2016) Contextual policy search for linear and nonlinear generalization of a humanoid walking controller. Journal of Intelligent and Robotic Systems: Theory and Applications, 83 (3). pp. 393-408. ISSN 0921-0296

Robot sensing systems

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Robotic Environment Mapping

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Robotic Exploration

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Robotic Grasping

Osa, T., Peters, J. and Neumann, Gerhard (2018) Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions. Advanced Robotics, 32 (18). pp. 955-968. ISSN 0169-1864

Robotic Information Gathering

Choi, Taeyeong and Cielniak, Grzegorz (2021) Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning. In: 2021 European Conference on Mobile Robots (ECMR), 31 Aug - 03 Sep 2021, Bonn, Germany.

Robotic Monitoring

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Robotic perception

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Robotics

Abdolmaleki, A., Lau, N., Reis, L. P. and Neumann, G. (2015) Regularized covariance estimation for weighted maximum likelihood policy search methods. In: Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on, 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Brandherm, F., Peters, J., Neumann, Gerhard and Akrour, R. (2019) Learning Replanning Policies with Direct Policy Search. IEEE Robotics and Automation Letters (RA-L), 4 (2). 2196 -2203. ISSN 2377-3766

Daniel, C., Neumann, G. and Peters, J. (2012) Learning concurrent motor skills in versatile solution spaces. In: International Conference on Intelligent Robot Systems (IROS), 7 - 12 October 2012, Vilamoura, Algarve Portugal.

Deisenroth, M. P., Neumann, G. and Peters, J. (2013) A survey on policy search for robotics. Foundations and Trends in Robotics, 2 (1-2). pp. 388-403. ISSN 1935-8253

End, F., Akrour, R., Peters, J. and Neumann, G. (2017) Layered direct policy search for learning hierarchical skills. In: International Conference on Robotics and Automation (ICRA), 29 May - 3 June 2017, Marina Bay Sands in Singapore.

Gabriel, A., Akrour, R., Peters, J. and Neumann, G. (2017) Empowered skills. In: International Conference on Robotics and Automation (ICRA), 29 May - 3 June 2017, Sands Expo and Convention Centre, Marina Bay Sands in Singapore.

Ge, Yuanyue, Xiong, Ya, Tenorio, Gabriel L and From, Pal (2019) Fruit Localization and Environment Perception for Strawberry Harvesting Robots. IEEE Access, 7 (99). p. 1. ISSN 2169-3536

Kroemer, O., Van Hoof, H., Neumann, G. and Peters, J. (2014) Learning to predict phases of manipulation tasks as hidden states. In: 2014 IEEE International Conference on Robotics and Automation, 31 May - 7 June 2014, Hong Kong.

Kupcsik, A. G., Deisenroth, M. P., Peters, J. and Neumann, Gerhard (2013) Data-efficient generalization of robot skills with contextual policy search. Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013 . pp. 1401-1407. ISSN -

Luck, K. S., Neumann, G., Berger, E., Peters, J. and Amor, H. B. (2014) Latent space policy search for robotics. In: IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 14 - 18 September 2014, Chicago, Illinois.

Martinez Mozos, Oscar, Gil, Arturo, Ballesta, Monica and Reinoso, Oscar (2007) Interest point detectors for visual SLAM. In: Current Topics in Artificial Intelligence. Lecture Notes in Computer Science, 4788 . Springer Berlin / Heidelberg, Germany, pp. 170-179. ISBN 9783540752707

Modugno, V., Neumann, Gerhard, Rueckert, E., Oriolo, G., Peters, J. and Ivaldi, S. (2016) Learning soft task priorities for control of redundant robots. In: IEEE International Conference on Robotics and Automation (ICRA) 2016, 16-21 May 2016, Stockholm, Sweden.

Neumann, G., Daniel, C., Paraschos, A., Kupcsik, A. and Peters, J. (2014) Learning modular policies for robotics. Frontiers in Computational Neuroscience, 8 (JUN). ISSN 1662-5188

Osa, T., Peters, J. and Neumann, G. (2016) Experiments with hierarchical reinforcement learning of multiple grasping policies. In: Proceedings of the International Symposium on Experimental Robotics (ISER), 3 - 6 October 2016, Tokyo, Japan.

Osa, Takayuki, Ghalamzan Esfahani, Amir M., Stolkin, Rustam, Lioutikov, Rudolf, Peters, Jan and Neumann, Gerhard (2017) Guiding trajectory optimization by demonstrated distributions. IEEE Robotics and Automation Letters (RA-L), 2 (2). pp. 819-826. ISSN 2377-3766

Paraschos, A., Daniel, C., Peters, J. and Neumann, G. (2013) Probabilistic movement primitives. In: Advances in Neural Information Processing Systems, (NIPS), 5 - 10 December 2013, Harrahs and Harveys, Lake Tahoe.

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Senft, Emmanuel, Lemaignan, Severin, Baxter, Paul and Belpaeme, Tony (2018) From Evaluating to Teaching: Rewards and Challenges of Human Control for Learning Robots. In: IROS 2018 Workshop on Human/Robot in the Loop Machine Learning, 1st October 2018, Madrid, Spain.

Triebel, Rudolph, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Collective classification for labeling of places and objects in 2D and 3D range data. In: Data analysis, machine learning and applications. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Germany, pp. 293-300. ISBN 9783540782391, 9783540782469

Van Hoof, H., Hermans, T., Neumann, G. and Peters, J. (2015) Learning robot in-hand manipulation with tactile features. In: International Conference on Humanoid Robots (HUMANOIDS), 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Zhivkov, Tsvetan, Gomez, Adrian, Gao, Junfeng, Sklar, Elizabeth and Parsons, Simon (2021) The need for speed: How 5G communication can support AI in the field. In: EPSRC UK-RAS Network (2021). UKRAS21 Conference: Robotics at home Proceedings, 02 June 2021, Virtual.

Robustness

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

SARS-CoV-2

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

SLAM

Gil, Arturo, Reinoso, Oscar, Burgard, Wolfram, Stachniss, Cyrill and Martinez Mozos, Oscar (2006) Improving data association in vision-based SLAM. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9-15 October 2006, Beijing, China.

Stachniss, Cyrill, Grisetti, Giorgio, Martinez Mozos, Oscar and Burgard, Wolfram (2007) Efficiently learning metric and topological maps with autonomous service robots. it--Information Technology, 49 (4). pp. 232-237. ISSN 1611-2776

Valgren, Christoffer, Duckett, Tom and Lilienthal, Achim (2007) Incremental spectral clustering and its application to topological mapping. In: Proceedings of ICRA-2007, IEEE International Conference on Robotics and Automation, April 10-14, 2007, Roma, Italy.

Zaganidis, Anestis, Zerntev, Alexandros, Duckett, Tom and Cielniak, Grzegorz (2019) Semantically Assisted Loop Closure in SLAM Using NDT Histograms. In: International Conference on Intelligent Robots and Systems (IROS), 4-8, November, 2019, Macao, China.

SPARC

Senft, Emmanuel, Lemaignan, Séverin, Baxter, Paul, Bartlett, Madeleine and Belpaeme, Tony (2019) Teaching robots social autonomy from in situ human guidance. Science Robotics, 4 (35). eaat1186. ISSN 2470-9476

SVM classifier

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

Savitzky–Golay adaptive filtering

Zhang, Yu, Bingham, Chris, Yang, Zhijing, Ling, Wing-Kuen and Gallimore, Michael (2014) Machine fault detection by signal denoising—with application to industrial gas turbines. Measurement, 58 . pp. 230-240. ISSN 0263-2241

Security

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

Segmentation

Azarmehr, Neda, Ye, Xujiong, Janan, Faraz, Howard, James P, Francis, Darrel P and Zolgharni, Massoud (2019) Automated Segmentation of Left Ventricle in 2D echocardiography using deep learning. In: Medical Imaging with Deep Learning 2019, 8-10th July 2019, London.

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain, Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

Self Training

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2020) Deep Bayesian Self-Training. Neural Computing and Applications, 32 (9). pp. 4275-4291. ISSN 0941-0643

Self-supervised Learning

Choi, Taeyeong, Would, Owen, Salazar-Gomez, Adrian and Cielniak, Grzegorz (2022) Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies. In: IEEE International Conference on Robotics and Automation, 23-27 May 2022, Philadelphia, USA.

Semantic Web

Mohtasseb, Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.

Semantic place classification

Martinez Mozos, Oscar, Triebel, Rudolph, Jensfelt, Patric, Rottmann, Axel and Burgard, Wolfram (2007) Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems (RAS), 55 (5). pp. 391-402. ISSN 0921-8890

Semantic place information

Stachniss, Cyrill, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Efficient exploration of unknown indoor environments using a team of mobile robots. Annals of Mathematics and Artificial Intelligence (AMAI), 52 (2-4). pp. 205-227. ISSN 1012-2443

Semi-Markov Decision Processes

Daniel, C., van Hoof, H., Peters, J. and Neumann, G. (2016) Probabilistic inference for determining options in reinforcement learning. Machine Learning, 104 (2-3). pp. 337-357. ISSN 0885-6125

Sensor fusion

Martinez Mozos, Oscar, Kurazume, Ryo and Hasegawa, Tsutomu (2010) Multi-part people detection using 2D range data. International Journal of Social Robotics, 2 (1). pp. 31-40. ISSN 1875-4791

Sentiment Analysis

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) Context incorporation using context-aware language features. In: European Conference on Signal Processing, 28/8-2/9/2017, Kos, Greece.

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): incorporating context information in sentiment analysis. In: The semantic web: ESWC satellite events. Lecture Notes in Computer Science . Springer, pp. 283-298. ISBN 9783319704067

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From HCI and affective computing to sentiment analysis: extending the pool of context-aware features in affective-aware systems. In: 8th International Conference on Human Factors and Ergonomics 2017, 17-21 July 2017, Los Angeles, CA, USA.

Sequencing

Daniel, C., Neumann, G., Kroemer, O. and Peters, J. (2013) Learning sequential motor tasks. In: IEEE International Conference on Robotics and Automation, 6 - 10 May 2013, Karlsruhe, Germany.

Neumann, Gerhard, Maass, W. and Peters, J. (2009) Learning complex motions by sequencing simpler motion templates. In: 26th Annual International Conference on Machine Learning (ICML 2009), 14-18 June 2009, Montreal, QC; Canada.

Service Robotics

Martinez Mozos, Oscar (2010) Semantic labeling of places with mobile robots. Springer Tracts in Advanced Robotics (STAR), 61 . Springer Berlin Heidelberg, Germany. ISBN 9783642112102, 9783642112096

Service Robots

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Service robots

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Signal Processing

Caliva, Francesco, De Sousa Ribeiro, Fabio, Mylonakis, Antonios, Demaziere, Christophe, Vinai, Paolo, Leontidis, Georgios and Kollias, Stefanos (2018) A deep learning approach to anomaly detection in nuclear reactors. 2018 International Joint Conference on Neural Networks (IJCNN) . ISSN 2161-4393

Sim-to-Real

Polvara, Riccardo, Patacchiola, Massimiliano, Hanheide, Marc and Neumann, Gerhard (2020) Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics, 9 (1). ISSN 2218-6581

Situated interaction

Dethlefs, Nina and Cuayahuitl, Heriberto (2014) Hierarchical reinforcement learning for situated language generation. Natural Language Engineering, 21 (3). pp. 391-435. ISSN 1351-3249

Social Activity Classification

Coppola, Claudio, Cosar, Serhan, Faria, Diego and Bellotto, Nicola (2017) Automatic detection of human interactions from RGB-D data for social activity classification. In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 28 Aug - 1 Sep 2017, Lisbon.

Social Human-Robot Interactions

Del Duchetto, Francesco, Baxter, Paul and Hanheide, Marc (2020) Automatic Assessment and Learning of Robot Social Abilities. In: 2020 ACM/IEEE International Conference on Human-Robot Interaction, Pioneers Workshop.

Sparse component analysis Hyperplane clustering Underdetermined blind source separation Kernel density function

Xu, Xu, Zhong, Mingjun and Guo, Chonghui (2018) A Hyperplane Clustering Algorithm for Estimating the Mixing Matrix in Sparse Component Analysis. Neural Processing Letters, 47 (2). pp. 475-490. ISSN 1370-4621

Sparse component analysis; Hyperplane clustering; Underdetermined blind source separation

Xu, Xu, Zhong, Mingjun and Guo, Chonghui (2018) A Hyperplane Clustering Algorithm for Estimating the Mixing Matrix in Sparse Component Analysis. Neural Processing Letters, 47 (475). ISSN 1370-4621

Sparse representation

Coşar, Serhan and Çetin, Müjdat (2015) Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Computer Vision and Image Understanding, 139 . pp. 40-58. ISSN 1077-3142

Spatiotemporal phenomena

Hawes, Nick, Burbridge, Christopher, Jovan, Ferdian, Kunze, Lars, Lacerda, Bruno, Mudrova, Lenka, Young, Jay, Wyatt, Jeremy, Hebesberger, Denise, Kortner, Tobias, Ambrus, Rares, Bore, Nils, Folkesson, John, Jensfelt, Patric, Beyer, Lucas, Hermans, Alexander, Leibe, Bastian, Aldoma, Aitor, Faulhammer, Thomas, Zillich, Michael, Vincze, Markus, Chinellato, Eris, Al-Omari, Muhannad, Duckworth, Paul, Gatsoulis, Yiannis, Hogg, David C., Cohn, Anthony G., Dondrup, Christian, Pulido Fentanes, Jaime, Krajnik, Tomas, Santos, Joao M., Duckett, Tom and Hanheide, Marc (2017) The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics & Automation Magazine, 24 (3). pp. 146-156. ISSN 1070-9932

Spiking neural network(SNN)

Liu, Daqi, Bellotto, Nicola and Yue, Shigang (2020) Deep Spiking Neural Network for Video-based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems, 31 (6). pp. 1843-1855. ISSN 2162-237X

Spoken dialogue systems

Lopez Zorrilla, Asier, Torres, M. Ines and Cuayahuitl, Heriberto (2021) Audio Embeddings Help to Learn Better Dialogue Policies. In: IEEE Automatic Speech Recognition and Understanding.

Spoken interaction

Cuayahuitl, Heriberto, Renals, Steve, Lemon, Oliver and Shimodaira, Hiroshi (2010) Evaluation of a hierarchical reinforcement learning spoken dialogue system. Computer Speech & Language, 24 (2). pp. 395-429. ISSN 0885-2308

Cuayáhuitl, Heriberto (2009) Hierarchical reinforcement learning for spoken dialogue systems. PhD thesis, The University of Edinburgh.

Standardization

Fournier, L, Costaridou, L, Bidaut, Luc, Michoux, N, Lecouvet, F, de Geus-Oei, L-F, Boellaard, R, Oprea-Lager, D E, Obuchowski, N, Caroli, A, Kunz, W G, Oei, E H, O'Connor, J P B, Mayerhoefer, M E, Franca, M, Alberich-Bayarri, A, Deroose, C M, Loewe, C, Manniesing, R, Caramella, C, Lopci, E, Lassau, N, Persson, A, Achten, R, Rosendahl, K, Clement, O, Kotter, E, Golay, X, Smits, M, Dewey, M, Sullivan, D, van der Lugt, A and deSouza, N M (2021) Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically-driven quantitative biomarkers. European Radiology, 126 (5). 056001. ISSN 0938-7994

Statistical Analysis

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2017) A new unified framework for the early detection of the progression to diabetic retinopathy from fundus images. Computers in Biology and Medicine, 90 . pp. 98-115. ISSN 0010-4825

Statistical Physics

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Statistical inference

Leontidis, Georgios, Al-Diri, Bashir, Wigdahl, Jeffrey and Hunter, Andrew (2015) Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 25-29 August, 2015, Milan, Italy.

Statistical methods

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

Statistics

Triebel, Rudolph, Martinez Mozos, Oscar and Burgard, Wolfram (2008) Collective classification for labeling of places and objects in 2D and 3D range data. In: Data analysis, machine learning and applications. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Germany, pp. 293-300. ISBN 9783540782391, 9783540782469

Statistics & Numerical data

Fournier, L, Costaridou, L, Bidaut, Luc, Michoux, N, Lecouvet, F, de Geus-Oei, L-F, Boellaard, R, Oprea-Lager, D E, Obuchowski, N, Caroli, A, Kunz, W G, Oei, E H, O'Connor, J P B, Mayerhoefer, M E, Franca, M, Alberich-Bayarri, A, Deroose, C M, Loewe, C, Manniesing, R, Caramella, C, Lopci, E, Lassau, N, Persson, A, Achten, R, Rosendahl, K, Clement, O, Kotter, E, Golay, X, Smits, M, Dewey, M, Sullivan, D, van der Lugt, A and deSouza, N M (2021) Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically-driven quantitative biomarkers. European Radiology, 126 (5). 056001. ISSN 0938-7994

Stochasic Search

Abdolmaleki, A., Lau, N., Reis, L. P. and Neumann, G. (2015) Regularized covariance estimation for weighted maximum likelihood policy search methods. In: Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on, 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Stochastic Optimal Control

Abdulsamad, Hany, Arenz, Oleg, Peters, Jan and Neumann, Gerhard (2017) State-regularized policy search for linearized dynamical systems. In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 18-23 June 2017, Pittsburgh, USA.

Lioutikov, R., Paraschos, A., Peters, J. and Neumann, G. (2014) Sample-based information-theoretic stochastic optimal control. In: Proceedings of 2014 IEEE International Conference on Robotics and Automation, 31 May - 7 June 2014, Hong Kong.

Stochastic Search

Abdolmaleki, A., Lau, N., Reis, L.P. and Neumann, G. (2016) Non-parametric contextual stochastic search. In: Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 9 - 15 October 2016, Daejeon, Korea.

Abdolmaleki, A., Lioutikov, R., Lua, N., Paulo Reis, L., Peters, J. and Neumann, G. (2016) Model-based relative entropy stochastic search. In: Advances in Neural Information Processing Systems (NIPS), 20 - 24 July 2016, Denver, CO.

Abdolmaleki, Abbas, Price, Bob, Lau, Nuno, Reis, Luis Paulo and Neumann, Gerhard (2017) Deriving and improving CMA-ES with Information geometric trust regions. In: The Genetic and Evolutionary Computation Conference (GECCO 2017), 15-19 July 2017, Berlin, Germany.

Akrour, R., Sorokin, D., Peters, J. and Neumann, G. (2017) Local Bayesian optimization of motor skills. In: International Conference on Machine Learning (ICML), 6 - 11 August 2017, Sydney, Australia.

Subdivision method

Riley, Mike J. W., Jenkins, Karl W. and Thompson, Chris P. (2010) A study of early stopping, ensembling, and patchworking for cascade correlation neural networks. International Journal of Applied Mathematics, 40 (4). pp. 307-316. ISSN 1992-9978

Support Vector Machine

Huang, Jianfeng, Chen, Guohua, Shu, Lei, Wang, Shihua and Zhang, Yu (2016) An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals. IEEE Access, 4 . pp. 1800-1809. ISSN 2169-3536

Surveillance

Owens, Jonathan, Hunter, Andrew and Fletcher, Eric (2002) Novelty detection in video surveillance using hierarchical neural networks. In: ICANN, 27-30 August 2002, Madrid, Spain.

Shorten, David, Srivastava, Saket and Murray, John (2018) Localisation of Drone Controllers from RF Signals using a Deep Learning Approach. In: International Conference on Pattern Recognition and Artificial Intelligence, New Jersey.

Swarm Behavior

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (SWARM2021), 01-04 Jun 2021, Kyoto, Japan.

Swarm of Desert Locusts

Chudzik, Piotr, Mitchell, Arthur, Alkaseem, Mohammad, Wu, Yingie, Fang, Shibo, Hudaib, Taghread, Pearson, Simon and Al-Diri, Bashir (2020) Mobile Real-Time Grasshopper Detection and Data Aggregation Framework. Scientific Reports, 10 . p. 1150. ISSN 2045-2322

Swarms

Gebhardt, G. H. W., Daun, K., Schnaubelt, M. and Neumann, G. (2018) Learning robust policies for object manipulation with robot swarms. In: IEEE International Conference on Robotics and Automation, 21 - 25 May 2018, Brisbane, Australia.

Symbolic regression

Hunter, Andrew (2002) Expression inference - genetic symbolic classification integrated with non-linear coefficient optimisation. In: Joint International Conferences, AISC 2002 & Calculemus 2002, 1-5 July 2002, Marseilles, France.

Tactile Feedback

Van Hoof, H., Hermans, T., Neumann, G. and Peters, J. (2015) Learning robot in-hand manipulation with tactile features. In: International Conference on Humanoid Robots (HUMANOIDS), 3 - 5 November 2015, Korea Institute of Science and Technology (KIST), Seoul, Korea (South).

Task Success

Mohtasib, Abdalkarim, Ghalamzan Esfahani, Amir, Bellotto, Nicola and Cuayahuitl, Heriberto (2021) Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. In: International Joint Conference on Neural Networks (IJCNN).

Task Timing

Mohtasib, Abdalkarim, Ghalamzan Esfahani, Amir, Bellotto, Nicola and Cuayahuitl, Heriberto (2021) Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. In: International Joint Conference on Neural Networks (IJCNN).

Task analysis

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Temporal Difference Learning

Dann, C., Neumann, G. and Peters, J. (2014) Policy evaluation with temporal differences: a survey and comparison. Journal of Machine Learning Research, 15 . pp. 809-883. ISSN 1532-4435

Text Mining

Mohtasseb, Haytham and Ahmed, Amr (2009) Mining online diaries for blogger identification. In: The 2009 International Conference of Data Mining and Knowledge Engineering - The World Congress on Engineering, 1 - 3 July, 2009, London, UK.

Mohtasseb, Haytham and Ahmed, Amr (2009) More blogging features for author identification. In: The 2009 International Conference on Knowledge Discovery (ICKD'09), 2009, Manila.

Mohtasseb, Haytham and Ahmed, Amr (2010) PsychoNet: a psycholinguistc commonsense ontology. In: KEOD 2010 International Conference on Knowledge Engineering and Ontology Development part of IC3K, 25 - 28 October, 2010, Valencia, Spain.

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

Tikhonov regularization

Ni, Ji (2015) Tikhonov regularization as a complexity measure in multiobjective genetic programming. IEEE Transactions on Evolutionary Computation . ISSN 1089-778X

Tongue Classification

Rahman, Ashiqur, Ahmed, Amr and Yue, Shigang (2017) Classification of Tongue - Glossitis Abnormality. Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering . pp. 1-4. ISSN 2078-0958

Topological maps

Martinez Mozos, Oscar, Triebel, Rudolph, Jensfelt, Patric, Rottmann, Axel and Burgard, Wolfram (2007) Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems (RAS), 55 (5). pp. 391-402. ISSN 0921-8890

Trajectory

Del Duchetto, Francesco, Kucukyilmaz, Ayse, Iocchi, Luca and Hanheide, Marc (2018) Don't Make the Same Mistakes Again and Again: Learning Local Recovery Policies for Navigation from Human Demonstrations. IEEE Robotics and Automation Letters, 3 (4). pp. 4084-4091. ISSN 2377-3774

Trajectory Optimization

Akrour, R., Abdolmaleki, A., Abdulsamad, H. and Neumann, G. (2016) Model-free trajectory optimization for reinforcement learning. In: 33rd International Conference on Machine Learning, 19 - 24 June 2016, New York.

Trajectory classification

Owens, Jonathan and Hunter, Andrew (2000) Application of the self-organising map to trajectory classification. In: IEE Visual Surveillance Workshop, 1 July 2000, Dublin, Ireland.

Trend analysis

Zhang, Yu, Martinez, Miguel, Garlick, Mike, Latimer, Anthony and Cruz-Manzo, Samuel (2017) Condition monitoring of combustion system on industrial gas turbines based on trend and noise analysis. In: ASME TURBO EXPO 2017: Turbomachinery Technical Conference & Exposition, 26-30 June, 2017, Charlotte, NC USA.

Trust Region

Abdulsamad, Hany, Arenz, Oleg, Peters, Jan and Neumann, Gerhard (2017) State-regularized policy search for linearized dynamical systems. In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 18-23 June 2017, Pittsburgh, USA.

Ultrasound image segmentation

Zhang, Lei, Ye, Xujiong, Lambrou, Tryphon, Duan, Wenting, Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155

Unet

Colman, Jordan, Zhang, Lei, Duan, Wenting and Ye, Xujiong (2021) DR-Unet104 for Multimodal MRI Brain Tumor Segmentation. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer, Cham, pp. 410-419. ISBN 978-3-030-72086-5, 978-3-030-72087-2

Unmanned Aerial Vehicles

Polvara, Riccardo, Patacchiola, Massimiliano, Hanheide, Marc and Neumann, Gerhard (2020) Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization. Robotics, 9 (1). ISSN 2218-6581

Urban Studies

Ojo, Adegbola (2020) GIS and Machine Learning for Small Area Classifications in Developing Countries. Routledge, New York. ISBN 9780367322441

User Engagement

Del Duchetto, Francesco, Baxter, Paul and Hanheide, Marc (2020) Automatic Assessment and Learning of Robot Social Abilities. In: 2020 ACM/IEEE International Conference on Human-Robot Interaction, Pioneers Workshop.

User Modeling

Mohtasseb, Haytham and Ahmed, Amr (2009) Two-layer classification and distinguished representations of users and documents for grouping and authorship identification. In: The 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), 20 - 22 November, 2009, Shanghai, China.

Validation studies

Fournier, L, Costaridou, L, Bidaut, Luc, Michoux, N, Lecouvet, F, de Geus-Oei, L-F, Boellaard, R, Oprea-Lager, D E, Obuchowski, N, Caroli, A, Kunz, W G, Oei, E H, O'Connor, J P B, Mayerhoefer, M E, Franca, M, Alberich-Bayarri, A, Deroose, C M, Loewe, C, Manniesing, R, Caramella, C, Lopci, E, Lassau, N, Persson, A, Achten, R, Rosendahl, K, Clement, O, Kotter, E, Golay, X, Smits, M, Dewey, M, Sullivan, D, van der Lugt, A and deSouza, N M (2021) Incorporating radiomics into clinical trials: expert consensus on considerations for data-driven compared to biologically-driven quantitative biomarkers. European Radiology, 126 (5). 056001. ISSN 0938-7994

Variational Bayes

De Sousa Ribeiro, Fabio, Leontidis, Georgios and Kollias, Stefanos (2020) Capsule Routing via Variational Bayes. In: Thirty-fourth AAAI Conference on Artificial Intelligence, 7-12 February 2020, New York, USA.

Variational Inference

Arenz, O., Zhong, M. and Neumann, Gerhard (2018) Efficient Gradient-Free Variational Inference using Policy Search. In: Proceedings of the International Conference on Machine Learning.

Arenz, Oleg, Neumann, Gerhard and Zhong, Mingjun (2018) Efficient Gradient-Free Variational Inference using Policy Search. Proceedings of the 35th International Conference on Machine Learning, 80 . pp. 234-243. ISSN 1938-7228

De Sousa Ribeiro, Fabio, Leontidis, Georgios and Kollias, Stefanos (2020) Capsule Routing via Variational Bayes. In: Thirty-fourth AAAI Conference on Artificial Intelligence, 7-12 February 2020, New York, USA.

Neumann, Gerhard (2011) Variational inference for policy search in changing situations. In: 28th International Conference on Machine Learning (ICML-11), 28 June - 2 July 2011, Bellevue, Washington, USA.

Vibration Signal

Huang, Jianfeng, Chen, Guohua, Shu, Lei, Wang, Shihua and Zhang, Yu (2016) An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals. IEEE Access, 4 . pp. 1800-1809. ISSN 2169-3536

Vicinal-risk minimization

Ni, Ji and Rockett, Peter (2015) Training genetic programming classifiers by vicinal-risk minimization. Genetic Programming and Evolvable Machine, 16 (1). pp. 3-25. ISSN 1389-2576

Video

Zillich, Michael, Zhou, Kai, Skocaj, Danijel, Kristan, Matej, Vrecko, Alen, Mahnic, Marko, Janicek, Miroslav, Kruijff, Geert-Jan M., Keller, Thomas, Hanheide, Marc and Hawes, Nick (2013) Robot George: interactive continuous learning of visual concepts. In: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, March 3 - 6 2013, Tokyo.

Video Surveillance

Hunter, Andrew, Owens, Jonathan and Carpenter, M. (2003) A Neural System for Automated CCTV Surveillance. In: IEE Symposium Intelligent Distributed Surveillance Systems, 26 February 2003, London.

Owens, Jonathan, Hunter, Andrew and Fletcher, Eric (2002) Novelty detection in video surveillance using hierarchical neural networks. In: ICANN, 27-30 August 2002, Madrid, Spain.

Virtual environments

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

Vision

Pronobis, Andrzej, Jensfelt, Patric, Sjöö, Kristoffer, Zender, Hendrik, Kruijff, Geert-Jan M., Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Visual SLAM

Gil, Arturo, Martinez Mozos, Oscar, Ballesta, Monica and Reinoso, Oscar (2010) A comparative evaluation of interest point detectors and local descriptors for visual SLAM. Machine Vision and Applications (MVA), 21 (6). pp. 905-920. ISSN 0932-8092

Visual landmarks

Gil, Arturo, Martinez Mozos, Oscar, Ballesta, Monica and Reinoso, Oscar (2010) A comparative evaluation of interest point detectors and local descriptors for visual SLAM. Machine Vision and Applications (MVA), 21 (6). pp. 905-920. ISSN 0932-8092

Visual sensor networks

Coşar, Serhan and Çetin, Müjdat (2015) Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Computer Vision and Image Understanding, 139 . pp. 40-58. ISSN 1077-3142

Volumetric Analysis of OCT Scans

Greenwood, Luke, Habib, Maged and Al-Diri, Bashir (2021) Semi-Automated Labelling of Cystoid Macular Edema in OCT Scans. Biomedical Journal of Scientific & Technical Research, 36 (4). pp. 28761-28767. ISSN 2574-1241

Wearable Sensor

Ni, Ji, Lambrou, Tryphon and Ye, Xujiong (2016) Learning from life-logging data by hybrid HMM: a case study on active states prediction. In: 12th international Conference on Biomedical Engineering Biomedical Engineering (BioMed 2016), 15-16 February, 2016, Innsbruck, Austria.

Western Medicine

Rahman, Ashiqur, Ahmed, Amr and Yue, Shigang (2017) Classification of Tongue - Glossitis Abnormality. Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering . pp. 1-4. ISSN 2078-0958

YOLO.

Li, Xiaodong, Fox, Charles and Coutts, Shaun (2020) Deep learning for robotic strawberry harvesting. In: UKRAS20, 2020, Lincoln, UK.

action recognition

Gabriel, Alexander, Bellotto, Nicola and Baxter, Paul (2019) Towards a Dataset of Activities for Action Recognition in Open Fields. In: 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, U.K..

activity recognition

Coppola, Claudio, Cosar, Serhan, Faria, Diego R. and Bellotto, Nicola (2020) Social Activity Recognition on Continuous RGB-D Video Sequences. International Journal of Social Robotics . pp. 1-15. ISSN 1875-4791

Fernandez-Carmona, Manuel and Bellotto, Nicola (2016) On-line inference comparison with Markov Logic Network engines for activity recognition in AAL environments. In: IEEE International Conference on Intelligent Environments, 14-16 September 2016, London.

ad recommendation

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) Optimizing trade-offs among stakeholders in real-time bidding by incorporating multimedia metrics. In: SIGIR, 7 - 11 August 2017, Tokyo.

adversarial examples

Jiang, Shouyong, Kaiser, Marcus, Yang, Shengxiang, Kollias, Stefanos and Krasnogor, Natalio (2020) A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Transactions on Cybernetics, 50 (6). pp. 2814-2826. ISSN 2168-2267

agricultural robotics

Gabriel, Alexander, Bellotto, Nicola and Baxter, Paul (2019) Towards a Dataset of Activities for Action Recognition in Open Fields. In: 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, U.K..

agriculture

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

algorithm

Yin, H. and Allinson, N. M. (1999) Interpolating self-organising map (iSOM). Electronics Letters, 35 (19). pp. 1649-1650. ISSN 0013-5194

analytical optimization.

Zhang, Yu, Bingham, Chris and Maleki, Sepehr (2015) Measurement reconstruction in sensor networks for industrial systems. In: Third International Conference on Advances in Computing, Electronics and Communication, 10 - 11 October 2015, Zurich, Switzerland.

animal behaviour

Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong and Brown, James M (2021) Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. arXiv . ISSN 2331-8422

anomaly detection

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) Conference: 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. In: 9th European Commission Conference on EURATOM Research and Training in Safety of Reactor Systems, 4-7 June 2019, Romania.

Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong and Brown, James M (2021) Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. arXiv . ISSN 2331-8422

artificial intelligence

Campbell, J Peter, Kim, Sang Jin, Brown, James M, Ostmo, Susan, Chan, R V Paul, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2021) Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology, 128 (7). pp. 1070-1076. ISSN 0161-6420

Campbell, J Peter, Singh, Praveer, Redd, Travis, Brown, James M., Shah, Parag K, Subramanian, Prema, Rajan, Renu, Valikodath, Nita, Cole, Emily, Ostmo, Susan, Chan, R V Paul, Venkatapathy, Narendran, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2021) Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics, 147 (3). e2020016618. ISSN 0031-4005

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

Rottmann, Axel, Martinez Mozos, Oscar, Stachniss, Cyrill and Burgard, Wolfram (2005) Semantic place classification of indoor environments with mobile robots using boosting. In: National Conference on Artificial Intelligence (AAAI), July 9-13, 2005, Pittsburgh, Pennsylvania.

Triebel, Rudolph, Schmidt, Richard, Martinez Mozos, Oscar and Burgard, Wolfram (2007) Instance-based AMN classification for improved object recognition in 2D and 3D laser range data. In: Twentieth International Joint Conference on Artificial Intelligence (IJCAI), 6-12 January 2007, Hyderabad, India.

Yin, H. and Allinson, N. M. (1999) Interpolating self-organising map (iSOM). Electronics Letters, 35 (19). pp. 1649-1650. ISSN 0013-5194

Zender, Hendrik, Jensfelt, Patric, Martinez Mozos, Oscar, Kruijff, Geert-Jan M. and Burgard, Wolfram (2007) An integrated robotic system for spatial understanding and situated interaction in indoor environments. In: Twenty-Second AAAI Conference on Artificial Intelligence, 22-26 July 2007, Vancouver, British Columbia.

assisted mobility

Kucukyilmaz, Ayse and Demiris, Yiannis (2015) One-shot assistance estimation from expert demonstrations for a shared control wheelchair system. In: 24th IEEE International Symposium on Robot and Human Interactive Communication 2015 (RO-MAN'15), 31 August - 4 September 2015, Kobe, Japan.

assistive living

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen, Wang, Liang and Chambers, Jonathan (2012) Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Transactions on Information Technology in Biomedicine, 16 (6). pp. 1274-1286. ISSN 1089-7771

Yu, Miao, Yu, Yuanzhang, Rhuma, Adel, Naqvi, Syed Mohsen Raza, Wang, Liang and Chambers, Jonathon A. (2013) An online one class support vector machine based person-specific fall detection system for monitoring an elderly individual in a room environment. IEEE Journal of Biomedical and Health Informatics, 17 (6). pp. 1002-1014. ISSN 2168-2194

assistive robotics

Kucukyilmaz, Ayse and Demiris, Yiannis (2015) One-shot assistance estimation from expert demonstrations for a shared control wheelchair system. In: 24th IEEE International Symposium on Robot and Human Interactive Communication 2015 (RO-MAN'15), 31 August - 4 September 2015, Kobe, Japan.

assistive technologies

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

automatic fetal biometric measurements

Zhang, Lei, Ye, Xujiong, Lambrou, Tryphon, Duan, Wenting, Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155

automation

Ge, Yuanyue, Xiong, Ya, Tenorio, Gabriel L and From, Pal (2019) Fruit Localization and Environment Perception for Strawberry Harvesting Robots. IEEE Access, 7 (99). p. 1. ISSN 2169-3536

autonomous robot

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

autonomous robots

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

Senft, Emmanuel, Lemaignan, Séverin, Baxter, Paul, Bartlett, Madeleine and Belpaeme, Tony (2019) Teaching robots social autonomy from in situ human guidance. Science Robotics, 4 (35). eaat1186. ISSN 2470-9476

behavioral ecology

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (SWARM2021), 01-04 Jun 2021, Kyoto, Japan.

behavioural cloning

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An algorithmic perspective on imitation learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 1935-8253

behavorial cloning

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An Algorithmic Perspective on Imitation Learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 978-1-68083-410-9

bias

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

bmjdoi

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2016) Exploiting the retinal vascular geometry in identifying the progression to diabetic retinopathy using penalized logistic regression and random forests. In: Emerging trends and advanced technologies for computational intelligence. Studies in Computational Intelligence, 647 . Springer International Publishing, Switzerland, pp. 381-400. ISBN 9783319333533, 9783319333519

Rossetti, Damiano, Squartini, Stefano, Collura, Stefano and Zhang, Yu (2018) Power plant condition monitoring by means of coal powder granulometry classification. Measurement, 123 . pp. 39-47. ISSN 0263-2241

bmjgoldcheck

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

bmjholiday

Gallimore, Michael, Riley, Mike and Bingham, Chris (2015) Self-Organizing Piecewise Aggregate Approximation algortihm for intelligent detection and diagnosis of heart conditions. In: International Conference on Medical and Health Sciences, 13th June 2015, Berlin, Germany.

bmjtype

Barnes, Michael, Cielniak, Grzegorz and Duckett, Tom (2010) Minimalist AdaBoost for blemish identification in potatoes. In: International Conference on Computer Vision and Graphics 2010, Sep 20-22 2010, PJIIT - Polish-Japanese Institute of Information Technology, Warsaw, Poland.

Martinez Mozos, Oscar, Gil, Arturo, Ballesta, Monica and Reinoso, Oscar (2007) Interest point detectors for visual SLAM. In: Current Topics in Artificial Intelligence. Lecture Notes in Computer Science, 4788 . Springer Berlin / Heidelberg, Germany, pp. 170-179. ISBN 9783540752707

boundary method

Yu, Miao, Naqvi, S. M., Rhuma, A. and Chambers, J. (2012) Study of one class boundary method classifiers for application in a video-based fall detection system. IET Computer Vision, 6 (2). pp. 90-100. ISSN 1751-9632

capsule neural networs

De Sousa Ribeiro, Fabio, Leontidis, George and Kollias, Stefanos (2020) Introducing Routing Uncertainty in Capsule Networks. In: 2020 Conference on Neural Information Processing Systems, December 6-12, 2020, Vancouver, Canada.

cascade detector

Li, Xiaodong, Fox, Charles and Coutts, Shaun (2020) Deep learning for robotic strawberry harvesting. In: UKRAS20, 2020, Lincoln, UK.

chatbots

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Choi, Sungja, Hwang, Inchul and Kim, Jihie (2019) Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. In: International Joint Conference on Neural Networks (IJCNN).

classification

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

classification models

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

clustering

Cong, Fengyu, Alluri, Vinoo, Nandi, Asoke K, Toiviainen, Petri, Fa, Rui, Abu-Jamous, Basel, Gong, Liyun, G.W.Craenen, Bart, Poikonen, Hanna, Huotilainen, Minna and Ristaniemi, Tapani (2013) Linking brain responses to naturalistic music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15 (5). pp. 1060-1069. ISSN 1520-9210

co-creative drawing

Jansen, Chipp and Sklar, Elizabeth (2021) Predicting Artist Drawing Activity via Multi-Camera Inputs for Co-Creative Drawing. Proceedings of the 22nd Towards Autonomous Robotic Systems (TAROS) Conference . ISSN TBD

cogx

Zillich, Michael, Zhou, Kai, Skocaj, Danijel, Kristan, Matej, Vrecko, Alen, Mahnic, Marko, Janicek, Miroslav, Kruijff, Geert-Jan M., Keller, Thomas, Hanheide, Marc and Hawes, Nick (2013) Robot George: interactive continuous learning of visual concepts. In: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, March 3 - 6 2013, Tokyo.

complex motion

Neumann, Gerhard, Maass, W. and Peters, J. (2009) Learning complex motions by sequencing simpler motion templates. In: 26th Annual International Conference on Machine Learning (ICML 2009), 14-18 June 2009, Montreal, QC; Canada.

computer vision

Campbell, J Peter, Kim, Sang Jin, Brown, James M, Ostmo, Susan, Chan, R V Paul, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2021) Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology, 128 (7). pp. 1070-1076. ISSN 0161-6420

Coppola, Claudio, Cosar, Serhan, Faria, Diego R. and Bellotto, Nicola (2020) Social Activity Recognition on Continuous RGB-D Video Sequences. International Journal of Social Robotics . pp. 1-15. ISSN 1875-4791

Hutton, Jamie, Harper, Glyn and Duckett, Tom (2012) A prototype low-cost machine vision system for automatic identification and quantification of potato defects. In: The Dundee Conference - Crop Protection in Northern Britain 2012, 28-29 February 2012, Dundee, Scotland, UK.

Jansen, Chipp and Sklar, Elizabeth (2021) Predicting Artist Drawing Activity via Multi-Camera Inputs for Co-Creative Drawing. Proceedings of the 22nd Towards Autonomous Robotic Systems (TAROS) Conference . ISSN TBD

Meng, Hongying, Freeman, Micheal, Pears, Nick and Bailey, Chris (2008) FPGA implementation of real-time human motion recognition on a reconfigurable video processing architecture. Journal of Real-time Image Processing, 3 (3). pp. 163-176. ISSN 1861-8200

Munkevik, Per, Hall, Gunnar and Duckett, Tom (2007) A computer vision system for appearance-based descriptive sensory evaluation of meals. Journal of Food Engineering, 78 (1). pp. 246-256. ISSN 0260-8774

computer-aided detection (CAD)

Redd, Travis K, Campbell, John Peter, Brown, James M, Kim, Sang Jin, Ostmo, Susan, Chan, Robison Vernon Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. British Journal of Ophthalmology . ISSN 0007-1161

computer-aided diagnosis

Brown, James, Campbell, J Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, RV Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

computing

Martinez Mozos, Oscar, Marton, Zoltan-Csaba and Beetz, Michael (2011) Furniture models learned from the WWW: using web catalogs to locate and categorize unknown furniture pieces in 3D laser scans. Robotics & Automation Magazine, 18 (2). 22 - 32. ISSN 1070-9932

condition monitoring

Zhang, Yu (2018) A brief review of condition monitoring techniques for gas turbines. Power Engineer . pp. 15-21. ISSN 1367-191X

congenital cranial dysinnervation disorders

Thomas, Mervyn, Maconachie, Gail D. E., Kuht, Helen J., Chan, Wai-Man, Sheth, Viral, Hisaund, Michael, McLean, Rebecca J., Barry, Brenda, Al-Diri, Bashir, Proudlock, Frank A., Tu, Zhanhan, Engle, Elizabeth C. and Gottlob, Irene (2021) Optic Nerve Head and Retinal Abnormalities Associated with Congenital Fibrosis of the Extraocular Muscles. International Journal of Molecular Sciences, 22 (5). p. 2575. ISSN 1422-0067

congenital fibrosis of extraocular muscles

Thomas, Mervyn, Maconachie, Gail D. E., Kuht, Helen J., Chan, Wai-Man, Sheth, Viral, Hisaund, Michael, McLean, Rebecca J., Barry, Brenda, Al-Diri, Bashir, Proudlock, Frank A., Tu, Zhanhan, Engle, Elizabeth C. and Gottlob, Irene (2021) Optic Nerve Head and Retinal Abnormalities Associated with Congenital Fibrosis of the Extraocular Muscles. International Journal of Molecular Sciences, 22 (5). p. 2575. ISSN 1422-0067

contextual stochastic searc

Abdolmaleki, A., Price, B., Lau, N., Reis, P. and Neumann, G. (2017) Contextual CMA-ES. In: International Joint Conference on Artificial Intelligence (IJCAI), 22 - 25 August 2017, Melbourne, Australia.

convolutional neural network

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

Thota, Mamatha, Swainson, Mark, Kollias, Stefanos and Leontidis, Georgios (2020) Multi-Source Domain Adaptation for Quality Control in Retail Food Packaging. Computers in Industry, 123 . p. 103293. ISSN 0166-3615

convolutional neural network autoencoder

Yu, Miao, Gong, Liyun, Clifford, Ross, Duff, Carol, Ye, Xujiong and Kollias, Stefanos (2019) A monocular camera based person-specific fall detection system exploiting deep neural network aided unsupervised. In: IEEE International Conference on Acoustics, Speech, and Signal Processing.

crop management

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

data analysis

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

data visualisation

Yin, H. and Allinson, N. M. (1999) Interpolating self-organising map (iSOM). Electronics Letters, 35 (19). pp. 1649-1650. ISSN 0013-5194

deep learning

Brown, James, Campbell, J Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, RV Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, R. V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F. (2018) Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Donohue, Kyra, Ostmo, Susan, Chan, R.V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Chiang, Michael F. and Kalpathy-Cramer, Jayashree (2018) Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning. Proceedings of SPIE, 10579 . p. 22. ISSN 1605-7422

Campbell, J Peter, Kim, Sang Jin, Brown, James M, Ostmo, Susan, Chan, R V Paul, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2021) Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology, 128 (7). pp. 1070-1076. ISSN 0161-6420

Campbell, J Peter, Singh, Praveer, Redd, Travis, Brown, James M., Shah, Parag K, Subramanian, Prema, Rajan, Renu, Valikodath, Nita, Cole, Emily, Ostmo, Susan, Chan, R V Paul, Venkatapathy, Narendran, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2021) Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics, 147 (3). e2020016618. ISSN 0031-4005

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

Chang, Ken, Beers, Andrew, Bai, Harrison, Brown, James M, Ly, K Ina, Li, Xuejun, Senders, Joeky, Kavouridis, Vasileois, Boaro, Alessandro, Su, Chang, Bi, Wenya Linda, Rapalino, Otto, Liao, Weihua, Shen, Qin, Zhou, Hao, Xiao, Bo, Wang, Yinyan, Zhang, Paul J, Pinho, Marco C, Wen, Patrick Y, Batchelor, Tracy T, Boxerman, Jerrold L, Arnaout, Omar, Rosen, Bruce R, Gerstner, Elizabeth R, Yang, Li, Huang, Raymond Y and Kalpathy-Cramer, Jayashree (2019) Automatic assessment of glioma burden: A deep learning algorithm for fully automated volumetric and bi-dimensional measurement. Neuro-Oncology, 21 (11). pp. 1412-1422. ISSN 1522-8517

Chatzifotis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos and Daras, Petros (2019) DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors. Sensors, 19 (2). p. 282. ISSN 1424-8220

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) Conference: 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. In: 9th European Commission Conference on EURATOM Research and Training in Safety of Reactor Systems, 4-7 June 2019, Romania.

Jansen, Chipp and Sklar, Elizabeth (2021) Predicting Artist Drawing Activity via Multi-Camera Inputs for Co-Creative Drawing. Proceedings of the 22nd Towards Autonomous Robotic Systems (TAROS) Conference . ISSN TBD

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

Liu, Daqi, Bellotto, Nicola and Yue, Shigang (2020) Deep Spiking Neural Network for Video-based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems, 31 (6). pp. 1843-1855. ISSN 2162-237X

Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong and Brown, James M (2021) Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. arXiv . ISSN 2331-8422

Redd, Travis K, Campbell, John Peter, Brown, James M, Kim, Sang Jin, Ostmo, Susan, Chan, Robison Vernon Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. British Journal of Ophthalmology . ISSN 0007-1161

Reed, Toby and Cutsuridis, Vassilis (2020) Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery. In: ICON 2020: 17th International Conference on Natural Language Processing, Dec 18-21, 2020, Patna, India.

Thota, Mamatha, Swainson, Mark, Kollias, Stefanos and Leontidis, Georgios (2020) Multi-Source Domain Adaptation for Quality Control in Retail Food Packaging. Computers in Industry, 123 . p. 103293. ISSN 0166-3615

Yildiz, Ilkay, Tian, Peng, Dy, Jennifer, Erdogmus, Deniz, Brown, James, Kalpathy-Cramer, Jayashree, Ostmo, Susan, Campbell, J Peter, Chiang, Michael F and Ioannidis, Stratis (2019) Classification and comparison via neural networks. Neural Networks, 118 . pp. 65-80. ISSN 0893-6080

deep learning; echocardiography; neural architecture search; view classification; AutoML

Azarmehr, Neda, Ye, Xujiong, Howard, James P, Lane, Elisabeth S, Labs, Robert, Shun-Shin, Matthew J, Cole, Graham D, Bidaut, Luc, Francis, Darrel P and Zolgharni, Massoud (2021) Neural architecture search of echocardiography view classifiers. Journal of Medical Imaging, 8 (3). 034002. ISSN 2329-4302

deep neural networks

Varytimidis, Christos, Rapantzikos, Kostas, Loukas, Constantinos and Kollias, Stefanos (2016) Surgical video retrieval using deep neural networks. In: M2CAI 2016, 21 October 2016, Athens, Greece.

deep reinforcement learning

Cuayahuitl, Heriberto and Yu, Seunghak (2017) Deep reinforcement learning of dialogue policies with less weight updates. In: International Conference of the Speech Communication Association (INTERSPEECH), 20-14 August 2017, Stockholm, Sweden.

Huttenrauch, Max, Sosic, Adrian and Neumann, Gerhard (2018) Exploiting Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning. In: International Conference for Swarm Intelligence (ANTS).

Hüttenrauch, Maximilian, Adrian, Sosic and Neumann, Gerhard (2019) Deep Reinforcement Learning for Swarm Systems. Journal of Machine Learning Research, 20 (54). pp. 1-31. ISSN 1533-7928

diabetes mellitus

Leontidis, Georgios, Al-Diri, Bashir, Wigdahl, Jeffrey and Hunter, Andrew (2015) Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 25-29 August, 2015, Milan, Italy.

diabetic retinopathy

Kotsiliti, Evangelia, Hunter, Andrew and Al-Diri, Bashir (2017) A classification model for predicting diabetic retinopathy based on patient characteristics and biochemical measures. Journal for Modeling in Ophthalmology, 1 (4). pp. 69-85.

Leontidis, Georgios (2016) Early screening and diagnosis of diabetic retinopathy. PhD thesis, University of Lincoln, UK.

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2016) Exploiting the retinal vascular geometry in identifying the progression to diabetic retinopathy using penalized logistic regression and random forests. In: Emerging trends and advanced technologies for computational intelligence. Studies in Computational Intelligence, 647 . Springer International Publishing, Switzerland, pp. 381-400. ISBN 9783319333533, 9783319333519

Leontidis, Georgios, Al-Diri, Bashir, Wigdahl, Jeffrey and Hunter, Andrew (2015) Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 25-29 August, 2015, Milan, Italy.

diagnosis

Kotsiliti, Evangelia, Hunter, Andrew and Al-Diri, Bashir (2017) A classification model for predicting diabetic retinopathy based on patient characteristics and biochemical measures. Journal for Modeling in Ophthalmology, 1 (4). pp. 69-85.

discourse RST

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) Context incorporation using context-aware language features. In: European Conference on Signal Processing, 28/8-2/9/2017, Kos, Greece.

Vlachostergiou, Aggeliki, Marandianos, George and Kollias, Stefanos (2017) From HCI and affective computing to sentiment analysis: extending the pool of context-aware features in affective-aware systems. In: 8th International Conference on Human Factors and Ergonomics 2017, 17-21 July 2017, Los Angeles, CA, USA.

discrete Fourier transform

Yu, Miao, Naqvi, Syed Mohsen, Rhuma, Adel and Chambers, Jonathan (2011) Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data. In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 22 - 27 May 2011, Prague, Czech Republic.

distributed learning

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

distributed processing

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

domain adaptation

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

domotics

Fernandez-Carmona, Manuel and Bellotto, Nicola (2016) On-line inference comparison with Markov Logic Network engines for activity recognition in AAL environments. In: IEEE International Conference on Intelligent Environments, 14-16 September 2016, London.

drug-disease relationship

Reed, Toby and Cutsuridis, Vassilis (2020) Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery. In: ICON 2020: 17th International Conference on Natural Language Processing, Dec 18-21, 2020, Patna, India.

dyadic joint object manipulation

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

dynamic multiobjective optimization

Jiang, Shouyong, Kaiser, Marcus, Yang, Shengxiang, Kollias, Stefanos and Krasnogor, Natalio (2020) A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Transactions on Cybernetics, 50 (6). pp. 2814-2826. ISSN 2168-2267

dynamics

Jiang, Shouyong, Kaiser, Marcus, Yang, Shengxiang, Kollias, Stefanos and Krasnogor, Natalio (2020) A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Transactions on Cybernetics, 50 (6). pp. 2814-2826. ISSN 2168-2267

eHealth

Ni, Ji, Lambrou, Tryphon and Ye, Xujiong (2016) Learning from life-logging data by hybrid HMM: a case study on active states prediction. In: 12th international Conference on Biomedical Engineering Biomedical Engineering (BioMed 2016), 15-16 February, 2016, Innsbruck, Austria.

early stopping

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

educational robotics

Senft, Emmanuel, Lemaignan, Severin, Baxter, Paul and Belpaeme, Tony (2018) From Evaluating to Teaching: Rewards and Challenges of Human Control for Learning Robots. In: IROS 2018 Workshop on Human/Robot in the Loop Machine Learning, 1st October 2018, Madrid, Spain.

Senft, Emmanuel, Lemaignan, Séverin, Baxter, Paul, Bartlett, Madeleine and Belpaeme, Tony (2019) Teaching robots social autonomy from in situ human guidance. Science Robotics, 4 (35). eaat1186. ISSN 2470-9476

electromyography

Lopez Larraz, Eduardo, Martinez Mozos, Oscar, Antelis, Javier M. and Minguez, Javier (2010) Syllable-based speech recognition using EMG. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 31 Aug - 4 Sep 2010, Buenos Aires.

empirical mode decomposition

Zhang, Yu, Bingham, Chris, Yang, Zhijing, Ling, Wing-Kuen and Gallimore, Michael (2014) Machine fault detection by signal denoising—with application to industrial gas turbines. Measurement, 58 . pp. 230-240. ISSN 0263-2241

ensemble machine learning

Riley, Mike, Jenkins, Karl W. and Thompson, Chris P. (2010) Improving the performance of cascade correlation neural networks on multimodal functions. In: World Congress on Engineering 2010, 30 June - 2 July 2010, London, UK.

ensembling

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

environment perception

Ge, Yuanyue, Xiong, Ya, Tenorio, Gabriel L and From, Pal (2019) Fruit Localization and Environment Perception for Strawberry Harvesting Robots. IEEE Access, 7 (99). p. 1. ISSN 2169-3536

extrospection

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

face recognition

Liu, Daqi, Bellotto, Nicola and Yue, Shigang (2020) Deep Spiking Neural Network for Video-based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems, 31 (6). pp. 1843-1855. ISSN 2162-237X

Liwicki, Stephan, Zafeiriou, Stefanos, Tzimiropoulos, Georgios and Pantic, Maja (2012) Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1624-1636. ISSN 2162-237X

fall detection

Khan, Muhammed Salman, Yu, Miao, Feng, Pengming, Wang, Liang and Chambers, Jonathon (2015) An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Processing, 110 . pp. 199-210. ISSN 0165-1684

Yu, Miao, Gong, Liyun, Clifford, Ross, Duff, Carol, Ye, Xujiong and Kollias, Stefanos (2019) A monocular camera based person-specific fall detection system exploiting deep neural network aided unsupervised. In: IEEE International Conference on Acoustics, Speech, and Signal Processing.

Yu, Miao, Naqvi, S. M., Rhuma, A. and Chambers, J. (2012) Study of one class boundary method classifiers for application in a video-based fall detection system. IET Computer Vision, 6 (2). pp. 90-100. ISSN 1751-9632

Yu, Miao, Naqvi, Syed Mohsen, Rhuma, Adel and Chambers, Jonathan (2011) Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data. In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 22 - 27 May 2011, Prague, Czech Republic.

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen and Chambers, Jonathan (2011) Fall detection for the elderly in a smart room by using an enhanced one class support vector machine. In: Digital Signal Processing (DSP), 2011 17th International Conference on, 6 - 8 July 2011, Corfu. Greece.

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen, Wang, Liang and Chambers, Jonathan (2012) Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Transactions on Information Technology in Biomedicine, 16 (6). pp. 1274-1286. ISSN 1089-7771

Yu, Miao, Yu, Yuanzhang, Rhuma, Adel, Naqvi, Syed Mohsen Raza, Wang, Liang and Chambers, Jonathon A. (2013) An online one class support vector machine based person-specific fall detection system for monitoring an elderly individual in a room environment. IEEE Journal of Biomedical and Health Informatics, 17 (6). pp. 1002-1014. ISSN 2168-2194

fault diagnosis

Zhang, Yu (2018) A brief review of condition monitoring techniques for gas turbines. Power Engineer . pp. 15-21. ISSN 1367-191X

feature evaluation and selection

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

feature extraction

Lopez Larraz, Eduardo, Martinez Mozos, Oscar, Antelis, Javier M. and Minguez, Javier (2010) Syllable-based speech recognition using EMG. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 31 Aug - 4 Sep 2010, Buenos Aires.

Zhang, Yu, Bingham, Chris, Gallimore, Michael and Cox, Darren (2015) Novelty detection based on extensions of GMMs for industrial gas turbines. In: IEEE international conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 12-14 June, 2015, Shenzhen, China.

fetal femur

Zhang, Lei, Ye, Xujiong, Lambrou, Tryphon, Duan, Wenting, Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155

fetal head

Zhang, Lei, Ye, Xujiong, Lambrou, Tryphon, Duan, Wenting, Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155

food technology

Hutton, Jamie, Harper, Glyn and Duckett, Tom (2012) A prototype low-cost machine vision system for automatic identification and quantification of potato defects. In: The Dundee Conference - Crop Protection in Northern Britain 2012, 28-29 February 2012, Dundee, Scotland, UK.

Munkevik, Per, Hall, Gunnar and Duckett, Tom (2007) A computer vision system for appearance-based descriptive sensory evaluation of meals. Journal of Food Engineering, 78 (1). pp. 246-256. ISSN 0260-8774

fundus image analysis

Campbell, J Peter, Singh, Praveer, Redd, Travis, Brown, James M., Shah, Parag K, Subramanian, Prema, Rajan, Renu, Valikodath, Nita, Cole, Emily, Ostmo, Susan, Chan, R V Paul, Venkatapathy, Narendran, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2021) Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics, 147 (3). e2020016618. ISSN 0031-4005

furniture

Martinez Mozos, Oscar, Marton, Zoltan-Csaba and Beetz, Michael (2011) Furniture models learned from the WWW: using web catalogs to locate and categorize unknown furniture pieces in 3D laser scans. Robotics & Automation Magazine, 18 (2). 22 - 32. ISSN 1070-9932

fuzzy one class support vector machine

Yu, Miao, Naqvi, Syed Mohsen, Rhuma, Adel and Chambers, Jonathan (2011) Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data. In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 22 - 27 May 2011, Prague, Czech Republic.

genetic programming

Ni, Ji (2015) Tikhonov regularization as a complexity measure in multiobjective genetic programming. IEEE Transactions on Evolutionary Computation . ISSN 1089-778X

glioblastoma

Chang, Ken, Beers, Andrew, Bai, Harrison, Brown, James M, Ly, K Ina, Li, Xuejun, Senders, Joeky, Kavouridis, Vasileois, Boaro, Alessandro, Su, Chang, Bi, Wenya Linda, Rapalino, Otto, Liao, Weihua, Shen, Qin, Zhou, Hao, Xiao, Bo, Wang, Yinyan, Zhang, Paul J, Pinho, Marco C, Wen, Patrick Y, Batchelor, Tracy T, Boxerman, Jerrold L, Arnaout, Omar, Rosen, Bruce R, Gerstner, Elizabeth R, Yang, Li, Huang, Raymond Y and Kalpathy-Cramer, Jayashree (2019) Automatic assessment of glioma burden: A deep learning algorithm for fully automated volumetric and bi-dimensional measurement. Neuro-Oncology, 21 (11). pp. 1412-1422. ISSN 1522-8517

global latent variables

De Sousa Ribeiro, Fabio, Leontidis, George and Kollias, Stefanos (2020) Introducing Routing Uncertainty in Capsule Networks. In: 2020 Conference on Neural Information Processing Systems, December 6-12, 2020, Vancouver, Canada.

gradient methods

Liwicki, Stephan, Zafeiriou, Stefanos, Tzimiropoulos, Georgios and Pantic, Maja (2012) Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1624-1636. ISSN 2162-237X

grey-box modelling

Zhang, Yu (2018) A brief review of condition monitoring techniques for gas turbines. Power Engineer . pp. 15-21. ISSN 1367-191X

haptic collaboration

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

haptic interaction pattern recognition

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

haptic interfaces

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

haptics-enabled virtual environments

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

healthcare

Gong, Liyun, Li, Jing, Miao, Yu, Zhu, Ming and Clifford, Ross (2020) A novel computer vision based gait analysis technique for normal and Parkinson’s gaits classification. In: 5th IEEE Cyber Science and Technology Congress, 17-22 Aug. 2020.

human action recognition trace transform

Goudelis, Georgios, Tsatiris, Georgios, Karpouzis, Kostas and Kollias, Stefanos (2017) 3D Cylindrical Trace Transform based feature extraction for effective human action classification. In: IEEE International Conference on Computational Intelligence in games, 25 - 28 Aug 2017, New York City, USA.

human detection

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2017) Online learning for human classification in 3D LiDAR-based tracking. In: IEEE/RSJ International Conference on Itelligent Robots and Systems (IROS), 24-28 Sep 2017, Vancouver, Canada.

human interaction patterns

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

human tracking

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2017) Online learning for human classification in 3D LiDAR-based tracking. In: IEEE/RSJ International Conference on Itelligent Robots and Systems (IROS), 24-28 Sep 2017, Vancouver, Canada.

human-human cooperation

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

human-human-interaction dataset

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

human-robot collaboration

Jansen, Chipp and Sklar, Elizabeth (2021) Predicting Artist Drawing Activity via Multi-Camera Inputs for Co-Creative Drawing. Proceedings of the 22nd Towards Autonomous Robotic Systems (TAROS) Conference . ISSN TBD

human-robot interaction

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

Senft, Emmanuel, Lemaignan, Séverin, Baxter, Paul, Bartlett, Madeleine and Belpaeme, Tony (2019) Teaching robots social autonomy from in situ human guidance. Science Robotics, 4 (35). eaat1186. ISSN 2470-9476

image-based crop phenotyping

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

imitation learning

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An Algorithmic Perspective on Imitation Learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 978-1-68083-410-9

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An algorithmic perspective on imitation learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 1935-8253

imperfect training data

Yu, Miao, Naqvi, Syed Mohsen, Rhuma, Adel and Chambers, Jonathan (2011) Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data. In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 22 - 27 May 2011, Prague, Czech Republic.

independent component analysis

Cong, Fengyu, Alluri, Vinoo, Nandi, Asoke K, Toiviainen, Petri, Fa, Rui, Abu-Jamous, Basel, Gong, Liyun, G.W.Craenen, Bart, Poikonen, Hanna, Huotilainen, Minna and Ristaniemi, Tapani (2013) Linking brain responses to naturalistic music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15 (5). pp. 1060-1069. ISSN 1520-9210

industrial gas turbine

Zhang, Yu, Bingham, Chris, Gallimore, Michael and Cox, Darren (2015) Novelty detection based on extensions of GMMs for industrial gas turbines. In: IEEE international conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 12-14 June, 2015, Shenzhen, China.

interaction patterns

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

interactive learning

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

interactive machine learning

Senft, Emmanuel, Lemaignan, Severin, Baxter, Paul and Belpaeme, Tony (2018) From Evaluating to Teaching: Rewards and Challenges of Human Control for Learning Robots. In: IROS 2018 Workshop on Human/Robot in the Loop Machine Learning, 1st October 2018, Madrid, Spain.

Senft, Emmanuel, Lemaignan, Séverin, Baxter, Paul, Bartlett, Madeleine and Belpaeme, Tony (2019) Teaching robots social autonomy from in situ human guidance. Science Robotics, 4 (35). eaat1186. ISSN 2470-9476

interactive reinforcement learning

Senft, Emmanuel, Lemaignan, Severin, Baxter, Paul and Belpaeme, Tony (2018) From Evaluating to Teaching: Rewards and Challenges of Human Control for Learning Robots. In: IROS 2018 Workshop on Human/Robot in the Loop Machine Learning, 1st October 2018, Madrid, Spain.

interpolation

Yin, H. and Allinson, N. M. (1999) Interpolating self-organising map (iSOM). Electronics Letters, 35 (19). pp. 1649-1650. ISSN 0013-5194

introspection

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

inverse models

Koert, D., Maeda, G., Neumann, G. and Peters, J. (2018) Learning coupled forward-inverse models with combined prediction errors. In: International Conference on Robotics and Automation (ICRA), 21 - 25 May 2018, Brisbane.

inverse reinforcement learning

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An Algorithmic Perspective on Imitation Learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 978-1-68083-410-9

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An algorithmic perspective on imitation learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 1935-8253

kernel methods

Liwicki, Stephan, Zafeiriou, Stefanos, Tzimiropoulos, Georgios and Pantic, Maja (2012) Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1624-1636. ISSN 2162-237X

knowledge co-production

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. In: 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (SWARM2021), 01-04 Jun 2021, Kyoto, Japan.

knowledge gap detection

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

learning (artificial intelligence)

Liwicki, Stephan, Zafeiriou, Stefanos, Tzimiropoulos, Georgios and Pantic, Maja (2012) Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1624-1636. ISSN 2162-237X

learning and adaptive systems

Osa, Takayuki, Ghalamzan Esfahani, Amir M., Stolkin, Rustam, Lioutikov, Rudolf, Peters, Jan and Neumann, Gerhard (2017) Guiding trajectory optimization by demonstrated distributions. IEEE Robotics and Automation Letters (RA-L), 2 (2). pp. 819-826. ISSN 2377-3766

learning by demonstration

Kucukyilmaz, Ayse and Demiris, Yiannis (2015) One-shot assistance estimation from expert demonstrations for a shared control wheelchair system. In: 24th IEEE International Symposium on Robot and Human Interactive Communication 2015 (RO-MAN'15), 31 August - 4 September 2015, Kobe, Japan.

leucocyte

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

linear models

Koert, D., Maeda, G., Neumann, G. and Peters, J. (2018) Learning coupled forward-inverse models with combined prediction errors. In: International Conference on Robotics and Automation (ICRA), 21 - 25 May 2018, Brisbane.

literature-based discovery

Reed, Toby and Cutsuridis, Vassilis (2020) Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery. In: ICON 2020: 17th International Conference on Natural Language Processing, Dec 18-21, 2020, Patna, India.

livestock management

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

localization

Pronobis, Andrzej, Mozos, Oscar M., Caputo, Barbara and Jensfelt, Patric (2010) Multi-modal semantic place classification. International Journal of Robotics Research (IJRR), 29 (2-3). pp. 298-320. ISSN 0278-3649

Zaganidis, Anestis, Zerntev, Alexandros, Duckett, Tom and Cielniak, Grzegorz (2019) Semantically Assisted Loop Closure in SLAM Using NDT Histograms. In: International Conference on Intelligent Robots and Systems (IROS), 4-8, November, 2019, Macao, China.

machine learning

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, R. V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F. (2018) Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Hutton, Jamie, Harper, Glyn and Duckett, Tom (2012) A prototype low-cost machine vision system for automatic identification and quantification of potato defects. In: The Dundee Conference - Crop Protection in Northern Britain 2012, 28-29 February 2012, Dundee, Scotland, UK.

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

Martinez Mozos, Oscar, Stachniss, Cyrill, Rottmann, Axel and Burgard, Wolfram (2007) Using AdaBoost for place labeling and topological map building. In: Robotics research: results of the 12th International Symposium ISRR. STAR Springer Tracts in Advanced Robotics, 28 . Springer, Germany, pp. 453-472. ISBN 9783540481102

Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong and Brown, James M (2021) Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. arXiv . ISSN 2331-8422

machine learning methods

Neumann, Gerhard, Maass, W. and Peters, J. (2009) Learning complex motions by sequencing simpler motion templates. In: 26th Annual International Conference on Machine Learning (ICML 2009), 14-18 June 2009, Montreal, QC; Canada.

machine reading

Indurthi, Satish, Yu, Seunghak, Back, Seohyun and Cuayahuitl, Heriberto (2018) Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. In: Empirical Methods in Natural Language Processing (EMNLP).

machine vision

Ge, Yuanyue, Xiong, Ya, Tenorio, Gabriel L and From, Pal (2019) Fruit Localization and Environment Perception for Strawberry Harvesting Robots. IEEE Access, 7 (99). p. 1. ISSN 2169-3536

Li, Xiaodong, Fox, Charles and Coutts, Shaun (2020) Deep learning for robotic strawberry harvesting. In: UKRAS20, 2020, Lincoln, UK.

manipulation planning

Osa, Takayuki, Ghalamzan Esfahani, Amir M., Stolkin, Rustam, Lioutikov, Rudolf, Peters, Jan and Neumann, Gerhard (2017) Guiding trajectory optimization by demonstrated distributions. IEEE Robotics and Automation Letters (RA-L), 2 (2). pp. 819-826. ISSN 2377-3766

mapping

Dayoub, Feras and Duckett, Tom (2008) An adaptive appearance-based map for long-term topological localization of mobile robots. In: International Conference on Intelligent Robots and Systems 2008, 22-26 September 2008, Nice, France.

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

Stachniss, Cyrill, Martinez Mozos, Oscar and Burgard, Wolfram (2006) Speeding-up multi-robot exploration by considering semantic place information. In: IEEE International Conference on Robotics and Automation (ICRA), 15-19 May 2006, Orlando, Florida.

mask R-CNN

Gong, Liyun, Li, Jing, Miao, Yu, Zhu, Ming and Clifford, Ross (2020) A novel computer vision based gait analysis technique for normal and Parkinson’s gaits classification. In: 5th IEEE Cyber Science and Technology Congress, 17-22 Aug. 2020.

mask fusion

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

medical imaging

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

medical prediction

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

medical signal processing

Lopez Larraz, Eduardo, Martinez Mozos, Oscar, Antelis, Javier M. and Minguez, Javier (2010) Syllable-based speech recognition using EMG. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 31 Aug - 4 Sep 2010, Buenos Aires.

metric map

Stachniss, Cyrill, Grisetti, Giorgio, Martinez Mozos, Oscar and Burgard, Wolfram (2007) Efficiently learning metric and topological maps with autonomous service robots. it--Information Technology, 49 (4). pp. 232-237. ISSN 1611-2776

mobile robot

Dayoub, Feras and Duckett, Tom (2008) An adaptive appearance-based map for long-term topological localization of mobile robots. In: International Conference on Intelligent Robots and Systems 2008, 22-26 September 2008, Nice, France.

Martinez-Marin, Tomas and Duckett, Tom (2008) Learning visual docking for non-holonomic autonomous vehicles. In: The Intelligent Vehicles 2008 Symposium (IV08), June 4-6, 2008, Eindhoven, Netherlands.

Valgren, Christoffer, Duckett, Tom and Lilienthal, Achim (2007) Incremental spectral clustering and its application to topological mapping. In: Proceedings of ICRA-2007, IEEE International Conference on Robotics and Automation, April 10-14, 2007, Roma, Italy.

mobile robotics

Arras, Kai O., Martinez Mozos, Oscar and Burgard, Wolfram (2007) Using boosted features for the detection of people in 2D range data. In: 2007 IEEE International Conference on Robotics and Automation (ICRA'07), 10-14 April 2007, Rome, Italy.

Ballesta, Monica, Gil, Arturo, Martinez Mozos, Oscar and Reinoso, Oscar (2007) Local descriptors for visual SLAM. In: RoboMat 2007: Workshop on Robotics and Mathematics, 17-19 September 2007, Coimbra, Portugal.

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

Martinez Mozos, Oscar (2005) Supervised learning of places from range data using adaboost. Masters thesis, University of Freiburg, Germany.

Martinez Mozos, Oscar and Burgard, Wolfram (2006) Supervised learning of topological maps using semantic information extracted from range data. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9-15 October 2006, Beijing, China.

Martinez Mozos, Oscar, Mizutani, Hitoshi, Jung, Hojung, Kurazume, Ryo and Hasegawa, Tsutomu (2013) Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders. Advanced Robotics, 27 (18). pp. 1455-1464. ISSN 0169-1864

Martinez Mozos, Oscar, Rottmann, Axel, Triebel, Rudolph, Jensfelt, Patric and Burgard, Wolfram (2006) Semantic labeling of places using information extracted from laser and vision sensor data. In: IEEE/RSJ IROS Workshop: From sensors to human spatial concepts, October 10, 2006, Beijing, China.

Martinez Mozos, Oscar, Stachniss, Cyrill and Burgard, Wolfram (2005) Supervised learning of places from range data using AdaBoost. In: IEEE International Conference on Robotics and Automation (ICRA), 18-22 April 2005, Barcelona.

Rottmann, Axel, Martinez Mozos, Oscar, Stachniss, Cyrill and Burgard, Wolfram (2005) Semantic place classification of indoor environments with mobile robots using boosting. In: National Conference on Artificial Intelligence (AAAI), July 9-13, 2005, Pittsburgh, Pennsylvania.

Stachniss, Cyrill, Martinez Mozos, Oscar and Burgard, Wolfram (2006) Speeding-up multi-robot exploration by considering semantic place information. In: IEEE International Conference on Robotics and Automation (ICRA), 15-19 May 2006, Orlando, Florida.

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2017) Online learning for human classification in 3D LiDAR-based tracking. In: IEEE/RSJ International Conference on Itelligent Robots and Systems (IROS), 24-28 Sep 2017, Vancouver, Canada.

mobile robots

Gil, Arturo, Reinoso, Oscar, Burgard, Wolfram, Stachniss, Cyrill and Martinez Mozos, Oscar (2006) Improving data association in vision-based SLAM. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9-15 October 2006, Beijing, China.

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

Martinez Mozos, Oscar, Marton, Zoltan-Csaba and Beetz, Michael (2011) Furniture models learned from the WWW: using web catalogs to locate and categorize unknown furniture pieces in 3D laser scans. Robotics & Automation Magazine, 18 (2). 22 - 32. ISSN 1070-9932

mobile rootics

Stachniss, Cyrill, Martinez Mozos, Oscar, Rottmann, Axel and Burgard, Wolfram (2005) Semantic labeling of places. In: International Symposium of Robotics Research (ISRR), 12-15 October 2005, San Francisco, CA.

monocyte

Banerjee, Abhirup, Ray, Surajit, Vorselaars, Bart, Kitson, Joanne, Mamalakis, Michail, Weeks, Simonne, Baker, Mark and Mackenzie, Louise S (2020) Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population. International Immunopharmacology, 86 . p. 106705. ISSN 1567-5769

motion and path planning

Osa, Takayuki, Ghalamzan Esfahani, Amir M., Stolkin, Rustam, Lioutikov, Rudolf, Peters, Jan and Neumann, Gerhard (2017) Guiding trajectory optimization by demonstrated distributions. IEEE Robotics and Automation Letters (RA-L), 2 (2). pp. 819-826. ISSN 2377-3766

motion capture

Chatzifotis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos and Daras, Petros (2019) DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors. Sensors, 19 (2). p. 282. ISSN 1424-8220

motive management

Skočaj, Danijel, Vrečko, Alen, Mahnič, Marko, Janíček, Miroslav, Kruijff, Geert-Jan M, Hanheide, Marc, Hawes, Nick, Wyatt, Jeremy L, Keller, Thomas, Zhou, Kai, Zillich, Michael and Kristan, Matej (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848. ISSN 0952-813X

mouse tracking

Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong and Brown, James M (2021) Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. arXiv . ISSN 2331-8422

movement primitives

Paraschos, Alexandros, Daniel, Christian, Peters, Jan and Neumann, Gerhard (2018) Using probabilistic movement primitives in robotics. Autonomous Robots, 42 (3). pp. 529-551. ISSN 0929-5593

movement skills

Paraschos, Alexandros, Daniel, Christian, Peters, Jan and Neumann, Gerhard (2018) Using probabilistic movement primitives in robotics. Autonomous Robots, 42 (3). pp. 529-551. ISSN 0929-5593

multi-class classi?cation

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen, Wang, Liang and Chambers, Jonathan (2012) Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Transactions on Information Technology in Biomedicine, 16 (6). pp. 1274-1286. ISSN 1089-7771

multi-domain dialogue management

Cuayahuitl, Heriberto and Yu, Seunghak (2017) Deep reinforcement learning of dialogue policies with less weight updates. In: International Conference of the Speech Communication Association (INTERSPEECH), 20-14 August 2017, Stockholm, Sweden.

multi-modal place classification

Pronobis, Andrzej, Mozos, Oscar M., Caputo, Barbara and Jensfelt, Patric (2010) Multi-modal semantic place classification. International Journal of Robotics Research (IJRR), 29 (2-3). pp. 298-320. ISSN 0278-3649

multi-scale prediction

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

multi-source domain adaptation

Thota, Mamatha, Swainson, Mark, Kollias, Stefanos and Leontidis, Georgios (2020) Multi-Source Domain Adaptation for Quality Control in Retail Food Packaging. Computers in Industry, 123 . p. 103293. ISSN 0166-3615

multimodal functions

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

multiple cameras

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen and Chambers, Jonathan (2011) Fall detection for the elderly in a smart room by using an enhanced one class support vector machine. In: Digital Signal Processing (DSP), 2011 17th International Conference on, 6 - 8 July 2011, Corfu. Greece.

multiple depth sensors

Chatzifotis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos and Daras, Petros (2019) DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors. Sensors, 19 (2). p. 282. ISSN 1424-8220

natural continuous music

Cong, Fengyu, Alluri, Vinoo, Nandi, Asoke K, Toiviainen, Petri, Fa, Rui, Abu-Jamous, Basel, Gong, Liyun, G.W.Craenen, Bart, Poikonen, Hanna, Huotilainen, Minna and Ristaniemi, Tapani (2013) Linking brain responses to naturalistic music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15 (5). pp. 1060-1069. ISSN 1520-9210

navigation

Dayoub, Feras and Duckett, Tom (2008) An adaptive appearance-based map for long-term topological localization of mobile robots. In: International Conference on Intelligent Robots and Systems 2008, 22-26 September 2008, Nice, France.

neural network

Liu, Daqi, Bellotto, Nicola and Yue, Shigang (2020) Deep Spiking Neural Network for Video-based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems, 31 (6). pp. 1843-1855. ISSN 2162-237X

neural networks

Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L and Kalpathy-Cramer, Jayashree (2018) Distributed deep learning networks among institutions for medical imaging. Journal of the American Medical Informatics Association, 25 (8). pp. 945-954. ISSN 1067-5027

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Choi, Sungja, Hwang, Inchul and Kim, Jihie (2019) Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. In: International Joint Conference on Neural Networks (IJCNN).

Yildiz, Ilkay, Tian, Peng, Dy, Jennifer, Erdogmus, Deniz, Brown, James, Kalpathy-Cramer, Jayashree, Ostmo, Susan, Campbell, J Peter, Chiang, Michael F and Ioannidis, Stratis (2019) Classification and comparison via neural networks. Neural Networks, 118 . pp. 65-80. ISSN 0893-6080

neutron noise

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. EPJ Nuclear Sciences & Technologies, 5 . p. 20. ISSN 2491-9292

new protocol

Varytimidis, Christos, Rapantzikos, Kostas, Loukas, Constantinos and Kollias, Stefanos (2016) Surgical video retrieval using deep neural networks. In: M2CAI 2016, 21 October 2016, Athens, Greece.

nonintrusive load monitoring

Zhong, Mingjun, Goddard, Nigel and Sutton, Charles (2015) Latent Bayesian melding for integrating individual and population models. In: Advances in Neural Information Processing Systems, 7 - 12 December 2015, Montreal, Canada.

novelty detection

Zhang, Yu, Bingham, Chris, Gallimore, Michael and Cox, Darren (2015) Novelty detection based on extensions of GMMs for industrial gas turbines. In: IEEE international conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 12-14 June, 2015, Shenzhen, China.

nuclear power plant core monitoring anomaly prediction

Demazière, C., Vinai, P., Hursin, M., Kollias, S. and Herb, J. (2017) Noise-based core monitoring and diagnostics: overview of the cortex project. In: Advances in Reactor Physics 2017, 6 - 9 Dec 2017, Mumbai, India.

nuclear reactor

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. EPJ Nuclear Sciences & Technologies, 5 . p. 20. ISSN 2491-9292

nuclear reactors

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) Conference: 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. In: 9th European Commission Conference on EURATOM Research and Training in Safety of Reactor Systems, 4-7 June 2019, Romania.

object tracking

Liwicki, Stephan, Zafeiriou, Stefanos, Tzimiropoulos, Georgios and Pantic, Maja (2012) Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1624-1636. ISSN 2162-237X

office automation

Martinez Mozos, Oscar, Marton, Zoltan-Csaba and Beetz, Michael (2011) Furniture models learned from the WWW: using web catalogs to locate and categorize unknown furniture pieces in 3D laser scans. Robotics & Automation Magazine, 18 (2). 22 - 32. ISSN 1070-9932

one class classification

Gong, Liyun, Li, Jing, Miao, Yu, Zhu, Ming and Clifford, Ross (2020) A novel computer vision based gait analysis technique for normal and Parkinson’s gaits classification. In: 5th IEEE Cyber Science and Technology Congress, 17-22 Aug. 2020.

Yu, Miao, Naqvi, S. M., Rhuma, A. and Chambers, J. (2012) Study of one class boundary method classifiers for application in a video-based fall detection system. IET Computer Vision, 6 (2). pp. 90-100. ISSN 1751-9632

one class support vector machine

Yu, Miao, Gong, Liyun, Clifford, Ross, Duff, Carol, Ye, Xujiong and Kollias, Stefanos (2019) A monocular camera based person-specific fall detection system exploiting deep neural network aided unsupervised. In: IEEE International Conference on Acoustics, Speech, and Signal Processing.

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen and Chambers, Jonathan (2011) Fall detection for the elderly in a smart room by using an enhanced one class support vector machine. In: Digital Signal Processing (DSP), 2011 17th International Conference on, 6 - 8 July 2011, Corfu. Greece.

ongoing

Cong, Fengyu, Alluri, Vinoo, Nandi, Asoke K, Toiviainen, Petri, Fa, Rui, Abu-Jamous, Basel, Gong, Liyun, G.W.Craenen, Bart, Poikonen, Hanna, Huotilainen, Minna and Ristaniemi, Tapani (2013) Linking brain responses to naturalistic music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15 (5). pp. 1060-1069. ISSN 1520-9210

online learning

Yan, Zhi, Duckett, Tom and Bellotto, Nicola (2017) Online learning for human classification in 3D LiDAR-based tracking. In: IEEE/RSJ International Conference on Itelligent Robots and Systems (IROS), 24-28 Sep 2017, Vancouver, Canada.

online ocsvm

Yu, Miao, Yu, Yuanzhang, Rhuma, Adel, Naqvi, Syed Mohsen Raza, Wang, Liang and Chambers, Jonathon A. (2013) An online one class support vector machine based person-specific fall detection system for monitoring an elderly individual in a room environment. IEEE Journal of Biomedical and Health Informatics, 17 (6). pp. 1002-1014. ISSN 2168-2194

operational pattern discrimination

Zhang, Yu, Bingham, Chris, Gallimore, Michael and Cox, Darren (2015) Novelty detection based on extensions of GMMs for industrial gas turbines. In: IEEE international conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 12-14 June, 2015, Shenzhen, China.

ophthalmology

Brown, James, Campbell, J Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, RV Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Campbell, J Peter, Kim, Sang Jin, Brown, James M, Ostmo, Susan, Chan, R V Paul, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2021) Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology, 128 (7). pp. 1070-1076. ISSN 0161-6420

optic nerve hypoplasia

Thomas, Mervyn, Maconachie, Gail D. E., Kuht, Helen J., Chan, Wai-Man, Sheth, Viral, Hisaund, Michael, McLean, Rebecca J., Barry, Brenda, Al-Diri, Bashir, Proudlock, Frank A., Tu, Zhanhan, Engle, Elizabeth C. and Gottlob, Irene (2021) Optic Nerve Head and Retinal Abnormalities Associated with Congenital Fibrosis of the Extraocular Muscles. International Journal of Molecular Sciences, 22 (5). p. 2575. ISSN 1422-0067

optical character verification

Thota, Mamatha, Swainson, Mark, Kollias, Stefanos and Leontidis, Georgios (2020) Multi-Source Domain Adaptation for Quality Control in Retail Food Packaging. Computers in Industry, 123 . p. 103293. ISSN 0166-3615

optical coherence tomography

Thomas, Mervyn, Maconachie, Gail D. E., Kuht, Helen J., Chan, Wai-Man, Sheth, Viral, Hisaund, Michael, McLean, Rebecca J., Barry, Brenda, Al-Diri, Bashir, Proudlock, Frank A., Tu, Zhanhan, Engle, Elizabeth C. and Gottlob, Irene (2021) Optic Nerve Head and Retinal Abnormalities Associated with Congenital Fibrosis of the Extraocular Muscles. International Journal of Molecular Sciences, 22 (5). p. 2575. ISSN 1422-0067

optimization

Gallimore, Michael, Riley, Mike and Bingham, Chris (2015) Self-Organizing Piecewise Aggregate Approximation algortihm for intelligent detection and diagnosis of heart conditions. In: International Conference on Medical and Health Sciences, 13th June 2015, Berlin, Germany.

oscillation.

Cong, Fengyu, Alluri, Vinoo, Nandi, Asoke K, Toiviainen, Petri, Fa, Rui, Abu-Jamous, Basel, Gong, Liyun, G.W.Craenen, Bart, Poikonen, Hanna, Huotilainen, Minna and Ristaniemi, Tapani (2013) Linking brain responses to naturalistic music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15 (5). pp. 1060-1069. ISSN 1520-9210

pareto front

Jiang, Shouyong, Kaiser, Marcus, Yang, Shengxiang, Kollias, Stefanos and Krasnogor, Natalio (2020) A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Transactions on Cybernetics, 50 (6). pp. 2814-2826. ISSN 2168-2267

particle filter

Stachniss, Cyrill, Grisetti, Giorgio, Martinez Mozos, Oscar and Burgard, Wolfram (2007) Efficiently learning metric and topological maps with autonomous service robots. it--Information Technology, 49 (4). pp. 232-237. ISSN 1611-2776

particle filtering

Gil, Arturo, Reinoso, Oscar, Burgard, Wolfram, Stachniss, Cyrill and Martinez Mozos, Oscar (2006) Improving data association in vision-based SLAM. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9-15 October 2006, Beijing, China.

people detection

Arras, Kai O., Martinez Mozos, Oscar and Burgard, Wolfram (2007) Using boosted features for the detection of people in 2D range data. In: 2007 IEEE International Conference on Robotics and Automation (ICRA'07), 10-14 April 2007, Rome, Italy.

people trcacking

Arras, Kai O., Lau, Boris, Grzonka, Slawomir, Luber, Matthias, Martinez Mozos, Oscar, Meyer-Delius, Daniel and Burgard, Wolfram (2012) Range-based people detection and tracking for socially enabled service robots. In: Towards service robots for everyday environments. Springer Tracts in Advanced Robotics (STAR), 76 . Springer, Germany, pp. 235-280. ISBN 9783642251153

perturbation analysis

Durrant, Aiden, Leontidis, Georgios and Kollias, Stefanos (2019) 3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding and Anomaly Detection. EPJ Nuclear Sciences & Technologies, 5 . p. 20. ISSN 2491-9292

physical human-X interaction

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

physical tasks

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

place categorization

Martinez Mozos, Oscar, Mizutani, Hitoshi, Jung, Hojung, Kurazume, Ryo and Hasegawa, Tsutomu (2013) Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders. Advanced Robotics, 27 (18). pp. 1455-1464. ISSN 0169-1864

Martinez Mozos, Oscar, Mizutani, Hitoshi, Kurazume, Ryo and Hasegawa, Tsutomu (2012) Categorization of indoor places using the Kinect sensor. Sensors, 12 (5). pp. 6695-6711. ISSN 1424-8220

place labeling

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

place recognition

Martinez Mozos, Oscar, Mizutani, Hitoshi, Jung, Hojung, Kurazume, Ryo and Hasegawa, Tsutomu (2013) Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders. Advanced Robotics, 27 (18). pp. 1455-1464. ISSN 0169-1864

planning

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

plant disease

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

policy search

Akrour, R., Abdolmaleki, A., Abdulsamad, H., Peters, J. and Neumann, Gerhard (2018) Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. Journal of Machine Learning Research (JMLR), 19 (14). pp. 1-25. ISSN 1532-4435

van Hoof, Herke, Neumann, Gerhard and Peters, Jan (2017) Non-parametric policy search with limited information loss. Journal of Machine Learning Research, 18 (73). pp. 1-46. ISSN 1532-4435

principal component analysis

Liwicki, Stephan, Zafeiriou, Stefanos, Tzimiropoulos, Georgios and Pantic, Maja (2012) Efficient online subspace learning with an indefinite kernel for visual tracking and recognition. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1624-1636. ISSN 2162-237X

Zhang, Yu, Bingham, Chris and Maleki, Sepehr (2015) Measurement reconstruction in sensor networks for industrial systems. In: Third International Conference on Advances in Computing, Electronics and Communication, 10 - 11 October 2015, Zurich, Switzerland.

Zhang, Yu, Bingham, Chris, Yang, Zhijing, Ling, Wing-Kuen and Gallimore, Michael (2014) Machine fault detection by signal denoising—with application to industrial gas turbines. Measurement, 58 . pp. 230-240. ISSN 0263-2241

quality of life technologies

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

question answering

Indurthi, Satish, Yu, Seunghak, Back, Seohyun and Cuayahuitl, Heriberto (2018) Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. In: Empirical Methods in Natural Language Processing (EMNLP).

recognition

Pronobis, Andrzej, Mozos, Oscar M., Caputo, Barbara and Jensfelt, Patric (2010) Multi-modal semantic place classification. International Journal of Robotics Research (IJRR), 29 (2-3). pp. 298-320. ISSN 0278-3649

reinforcement learning

Akrour, R., Abdolmaleki, A., Abdulsamad, H., Peters, J. and Neumann, Gerhard (2018) Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. Journal of Machine Learning Research (JMLR), 19 (14). pp. 1-25. ISSN 1532-4435

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Choi, Sungja, Hwang, Inchul and Kim, Jihie (2019) Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. In: International Joint Conference on Neural Networks (IJCNN).

Gebhardt, G. H. W., Daun, K., Schnaubelt, M. and Neumann, G. (2018) Robust learning of object assembly tasks with an invariant representation of robot swarms. In: International Conference on Robotics and Automation (ICRA), 21 - 25 May 2018, Brisbane.

Martinez-Marin, Tomas and Duckett, Tom (2008) Learning visual docking for non-holonomic autonomous vehicles. In: The Intelligent Vehicles 2008 Symposium (IV08), June 4-6, 2008, Eindhoven, Netherlands.

Thuruthel, T. G., Picardi, G., Iida, F., Laschi, C. and Calisti, M. (2021) Learning to stop: a unifying principle for legged locomotion in varying environments. Royal Society Open Science, 8 (4). ISSN 2054-5703

van Hoof, Herke, Neumann, Gerhard and Peters, Jan (2017) Non-parametric policy search with limited information loss. Journal of Machine Learning Research, 18 (73). pp. 1-46. ISSN 1532-4435

retail food packaging

Thota, Mamatha, Swainson, Mark, Kollias, Stefanos and Leontidis, Georgios (2020) Multi-Source Domain Adaptation for Quality Control in Retail Food Packaging. Computers in Industry, 123 . p. 103293. ISSN 0166-3615

retina

Brown, James, Campbell, J Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, RV Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Yildiz, Ilkay, Tian, Peng, Dy, Jennifer, Erdogmus, Deniz, Brown, James, Kalpathy-Cramer, Jayashree, Ostmo, Susan, Campbell, J Peter, Chiang, Michael F and Ioannidis, Stratis (2019) Classification and comparison via neural networks. Neural Networks, 118 . pp. 65-80. ISSN 0893-6080

retinal ganglion cells

Thomas, Mervyn, Maconachie, Gail D. E., Kuht, Helen J., Chan, Wai-Man, Sheth, Viral, Hisaund, Michael, McLean, Rebecca J., Barry, Brenda, Al-Diri, Bashir, Proudlock, Frank A., Tu, Zhanhan, Engle, Elizabeth C. and Gottlob, Irene (2021) Optic Nerve Head and Retinal Abnormalities Associated with Congenital Fibrosis of the Extraocular Muscles. International Journal of Molecular Sciences, 22 (5). p. 2575. ISSN 1422-0067

retinal vessel

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Donohue, Kyra, Ostmo, Susan, Chan, R.V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Chiang, Michael F. and Kalpathy-Cramer, Jayashree (2018) Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning. Proceedings of SPIE, 10579 . p. 22. ISSN 1605-7422

retinal vessel segmentation

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, R. V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F. (2018) Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

retinopathy

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Donohue, Kyra, Ostmo, Susan, Chan, R.V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Chiang, Michael F. and Kalpathy-Cramer, Jayashree (2018) Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning. Proceedings of SPIE, 10579 . p. 22. ISSN 1605-7422

Redd, Travis K, Campbell, John Peter, Brown, James M, Kim, Sang Jin, Ostmo, Susan, Chan, Robison Vernon Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. British Journal of Ophthalmology . ISSN 0007-1161

retinopathy of prematurity

Brown, James, Campbell, J Peter, Beers, Andrew, Chang, Ken, Ostmo, Susan, Chan, RV Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2018) Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmology, 136 (7). pp. 803-810. ISSN 2168-6165

Campbell, J Peter, Kim, Sang Jin, Brown, James M, Ostmo, Susan, Chan, R V Paul, Kalpathy-Cramer, Jayashree and Chiang, Michael F (2021) Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale. Ophthalmology, 128 (7). pp. 1070-1076. ISSN 0161-6420

Campbell, J Peter, Singh, Praveer, Redd, Travis, Brown, James M., Shah, Parag K, Subramanian, Prema, Rajan, Renu, Valikodath, Nita, Cole, Emily, Ostmo, Susan, Chan, R V Paul, Venkatapathy, Narendran, Chiang, Michael F and Kalpathy-Cramer, Jayashree (2021) Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics, 147 (3). e2020016618. ISSN 0031-4005

retrieval

Varytimidis, Christos, Rapantzikos, Kostas, Loukas, Constantinos and Kollias, Stefanos (2016) Surgical video retrieval using deep neural networks. In: M2CAI 2016, 21 October 2016, Athens, Greece.

retro-reflective markers

Chatzifotis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos and Daras, Petros (2019) DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors. Sensors, 19 (2). p. 282. ISSN 1424-8220

robot swarms

Gebhardt, Gregor H. W., Daun, Kevin, Schnaubelt, Marius, Hendrich, Alexander, Kauth, Daniel and Neumann, Gerhard (2017) Learning to assemble objects with a robot swarm. In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 17), May 08 - 12, 2017, São Paulo, Brazil.

robot vision

Gil, Arturo, Reinoso, Oscar, Burgard, Wolfram, Stachniss, Cyrill and Martinez Mozos, Oscar (2006) Improving data association in vision-based SLAM. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9-15 October 2006, Beijing, China.

Valgren, Christoffer, Duckett, Tom and Lilienthal, Achim (2007) Incremental spectral clustering and its application to topological mapping. In: Proceedings of ICRA-2007, IEEE International Conference on Robotics and Automation, April 10-14, 2007, Roma, Italy.

robotics

Arras, Kai O., Lau, Boris, Grzonka, Slawomir, Luber, Matthias, Martinez Mozos, Oscar, Meyer-Delius, Daniel and Burgard, Wolfram (2012) Range-based people detection and tracking for socially enabled service robots. In: Towards service robots for everyday environments. Springer Tracts in Advanced Robotics (STAR), 76 . Springer, Germany, pp. 235-280. ISBN 9783642251153

Coppola, Claudio, Cosar, Serhan, Faria, Diego R. and Bellotto, Nicola (2020) Social Activity Recognition on Continuous RGB-D Video Sequences. International Journal of Social Robotics . pp. 1-15. ISSN 1875-4791

Gabriel, Alexander, Bellotto, Nicola and Baxter, Paul (2019) Towards a Dataset of Activities for Action Recognition in Open Fields. In: 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, U.K..

Koert, D., Maeda, G., Neumann, G. and Peters, J. (2018) Learning coupled forward-inverse models with combined prediction errors. In: International Conference on Robotics and Automation (ICRA), 21 - 25 May 2018, Brisbane.

Martinez Mozos, Oscar, Jensfelt, Patric, Zender, Hendrik, Kruijff, Geert-Jan M. and Burgard, Wolfram (2007) From labels to semantics: an integrated system for conceptual spatial representations of indoor environments for mobile robots. In: IEEE/RSJ IROS 2007 Workshop: From Sensors to Human Spatial Concepts, 2 November 2007, San Diego, California.

Martinez Mozos, Oscar, Stachniss, Cyrill, Rottmann, Axel and Burgard, Wolfram (2007) Using AdaBoost for place labeling and topological map building. In: Robotics research: results of the 12th International Symposium ISRR. STAR Springer Tracts in Advanced Robotics, 28 . Springer, Germany, pp. 453-472. ISBN 9783540481102

Paraschos, Alexandros, Daniel, Christian, Peters, Jan and Neumann, Gerhard (2018) Using probabilistic movement primitives in robotics. Autonomous Robots, 42 (3). pp. 529-551. ISSN 0929-5593

Pronobis, Andrzej, Martinez Mozos, Oscar and Caputo, Barbara (2008) SVM-based discriminative accumulation scheme for place recognition. In: IEEE International Conference on Robotics and Automation (ICRA), 19 - 23 May 2008, Pasadena, CA.

routing uncertainty

De Sousa Ribeiro, Fabio, Leontidis, George and Kollias, Stefanos (2020) Introducing Routing Uncertainty in Capsule Networks. In: 2020 Conference on Neural Information Processing Systems, December 6-12, 2020, Vancouver, Canada.

scalable test problems

Jiang, Shouyong, Kaiser, Marcus, Yang, Shengxiang, Kollias, Stefanos and Krasnogor, Natalio (2020) A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Transactions on Cybernetics, 50 (6). pp. 2814-2826. ISSN 2168-2267

self-localisation

Dayoub, Feras and Duckett, Tom (2008) An adaptive appearance-based map for long-term topological localization of mobile robots. In: International Conference on Intelligent Robots and Systems 2008, 22-26 September 2008, Nice, France.

self-organising feature maps

Yin, H. and Allinson, N. M. (1999) Interpolating self-organising map (iSOM). Electronics Letters, 35 (19). pp. 1649-1650. ISSN 0013-5194

self-organising map

Owens, Jonathan and Hunter, Andrew (2000) Application of the self-organising map to trajectory classification. In: IEE Visual Surveillance Workshop, 1 July 2000, Dublin, Ireland.

self-organizing neural network

Zhang, Yu, Bingham, Chris and Maleki, Sepehr (2015) Measurement reconstruction in sensor networks for industrial systems. In: Third International Conference on Advances in Computing, Electronics and Communication, 10 - 11 October 2015, Zurich, Switzerland.

semantic annotation of space

Pronobis, Andrzej, Mozos, Oscar M., Caputo, Barbara and Jensfelt, Patric (2010) Multi-modal semantic place classification. International Journal of Robotics Research (IJRR), 29 (2-3). pp. 298-320. ISSN 0278-3649

semantic information

Stachniss, Cyrill, Grisetti, Giorgio, Martinez Mozos, Oscar and Burgard, Wolfram (2007) Efficiently learning metric and topological maps with autonomous service robots. it--Information Technology, 49 (4). pp. 232-237. ISSN 1611-2776

semantic labeling

Martinez Mozos, Oscar, Mizutani, Hitoshi, Jung, Hojung, Kurazume, Ryo and Hasegawa, Tsutomu (2013) Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders. Advanced Robotics, 27 (18). pp. 1455-1464. ISSN 0169-1864

semantic mapping

Martinez Mozos, Oscar, Mizutani, Hitoshi, Jung, Hojung, Kurazume, Ryo and Hasegawa, Tsutomu (2013) Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders. Advanced Robotics, 27 (18). pp. 1455-1464. ISSN 0169-1864

Zaganidis, Anestis, Zerntev, Alexandros, Duckett, Tom and Cielniak, Grzegorz (2019) Semantically Assisted Loop Closure in SLAM Using NDT Histograms. In: International Conference on Intelligent Robots and Systems (IROS), 4-8, November, 2019, Macao, China.

semantic segmentation

Gao, Junfeng, Westergaard, Jesper Cairo, Sundmark, Ea Høegh Riis, Bagge, Merethe, Liljeroth, Erland and Alexandersson, Erik (2021) Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning. Knowledge-Based Systems, 214 . p. 106723. ISSN 0950-7015

Hutton, Jamie, Harper, Glyn and Duckett, Tom (2012) A prototype low-cost machine vision system for automatic identification and quantification of potato defects. In: The Dundee Conference - Crop Protection in Northern Britain 2012, 28-29 February 2012, Dundee, Scotland, UK.

sensor and cue integration

Pronobis, Andrzej, Mozos, Oscar M., Caputo, Barbara and Jensfelt, Patric (2010) Multi-modal semantic place classification. International Journal of Robotics Research (IJRR), 29 (2-3). pp. 298-320. ISSN 0278-3649

sensor fusion

Pronobis, Andrzej, Mozos, Oscar M., Caputo, Barbara and Jensfelt, Patric (2010) Multi-modal semantic place classification. International Journal of Robotics Research (IJRR), 29 (2-3). pp. 298-320. ISSN 0278-3649

sensor networks

Maleki, Sepehr and Bingham, Chris (2017) A one-class Clustering technique for Novelty Detection and Isolation in sensor networks. In: 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

sensory descriptive evaluation

Munkevik, Per, Hall, Gunnar and Duckett, Tom (2007) A computer vision system for appearance-based descriptive sensory evaluation of meals. Journal of Food Engineering, 78 (1). pp. 246-256. ISSN 0260-8774

sentence embeddings

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Choi, Sungja, Hwang, Inchul and Kim, Jihie (2019) Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. In: International Joint Conference on Neural Networks (IJCNN).

service robotics

Zender, Hendrik, Jensfelt, Patric, Martinez Mozos, Oscar, Kruijff, Geert-Jan M. and Burgard, Wolfram (2007) An integrated robotic system for spatial understanding and situated interaction in indoor environments. In: Twenty-Second AAAI Conference on Artificial Intelligence, 22-26 July 2007, Vancouver, British Columbia.

service robots

Martinez Mozos, Oscar, Mizutani, Hitoshi, Kurazume, Ryo and Hasegawa, Tsutomu (2012) Categorization of indoor places using the Kinect sensor. Sensors, 12 (5). pp. 6695-6711. ISSN 1424-8220

shape optimisation

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

signal classification

Lopez Larraz, Eduardo, Martinez Mozos, Oscar, Antelis, Javier M. and Minguez, Javier (2010) Syllable-based speech recognition using EMG. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 31 Aug - 4 Sep 2010, Buenos Aires.

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

signal processing

Zhang, Yu (2018) A brief review of condition monitoring techniques for gas turbines. Power Engineer . pp. 15-21. ISSN 1367-191X

signal reconstruction

Zhang, Yu, Bingham, Chris and Maleki, Sepehr (2015) Measurement reconstruction in sensor networks for industrial systems. In: Third International Conference on Advances in Computing, Electronics and Communication, 10 - 11 October 2015, Zurich, Switzerland.

sketch-based computing

Jansen, Chipp and Sklar, Elizabeth (2021) Predicting Artist Drawing Activity via Multi-Camera Inputs for Co-Creative Drawing. Proceedings of the 22nd Towards Autonomous Robotic Systems (TAROS) Conference . ISSN TBD

slam

Ballesta, Monica, Gil, Arturo, Martinez Mozos, Oscar and Reinoso, Oscar (2007) Local descriptors for visual SLAM. In: RoboMat 2007: Workshop on Robotics and Mathematics, 17-19 September 2007, Coimbra, Portugal.

smart home

Fernandez-Carmona, Manuel and Bellotto, Nicola (2016) On-line inference comparison with Markov Logic Network engines for activity recognition in AAL environments. In: IEEE International Conference on Intelligent Environments, 14-16 September 2016, London.

soil management

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

solid modelling

Martinez Mozos, Oscar, Marton, Zoltan-Csaba and Beetz, Michael (2011) Furniture models learned from the WWW: using web catalogs to locate and categorize unknown furniture pieces in 3D laser scans. Robotics & Automation Magazine, 18 (2). 22 - 32. ISSN 1070-9932

source separation

Khan, Muhammed Salman, Yu, Miao, Feng, Pengming, Wang, Liang and Chambers, Jonathon (2015) An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Processing, 110 . pp. 199-210. ISSN 0165-1684

spectral analysis

Zhang, Yu, Bingham, Chris, Yang, Zhijing, Ling, Wing-Kuen and Gallimore, Michael (2014) Machine fault detection by signal denoising—with application to industrial gas turbines. Measurement, 58 . pp. 230-240. ISSN 0263-2241

speech recognition

Lopez Larraz, Eduardo, Martinez Mozos, Oscar, Antelis, Javier M. and Minguez, Javier (2010) Syllable-based speech recognition using EMG. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 31 Aug - 4 Sep 2010, Buenos Aires.

spoken dialogue systems

Cuayahuitl, Heriberto and Yu, Seunghak (2017) Deep reinforcement learning of dialogue policies with less weight updates. In: International Conference of the Speech Communication Association (INTERSPEECH), 20-14 August 2017, Stockholm, Sweden.

statistical analysis

Leontidis, Georgios, Al-Diri, Bashir and Hunter, Andrew (2016) Exploiting the retinal vascular geometry in identifying the progression to diabetic retinopathy using penalized logistic regression and random forests. In: Emerging trends and advanced technologies for computational intelligence. Studies in Computational Intelligence, 647 . Springer International Publishing, Switzerland, pp. 381-400. ISBN 9783319333533, 9783319333519

stereo image processing

Gil, Arturo, Reinoso, Oscar, Burgard, Wolfram, Stachniss, Cyrill and Martinez Mozos, Oscar (2006) Improving data association in vision-based SLAM. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9-15 October 2006, Beijing, China.

strawberry harvester

Ge, Yuanyue, Xiong, Ya, Tenorio, Gabriel L and From, Pal (2019) Fruit Localization and Environment Perception for Strawberry Harvesting Robots. IEEE Access, 7 (99). p. 1. ISSN 2169-3536

stress detection

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

subdivision technique

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

supervised learning

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Choi, Sungja, Hwang, Inchul and Kim, Jihie (2019) Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. In: International Joint Conference on Neural Networks (IJCNN).

support vector machine

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

support vector machines

Madan, Cigil Ece, Kucukyilmaz, Ayse, Sezgin, T.M. and Basdogan, C. (2015) Recognition of haptic interaction patterns in dyadic joint object manipulation. Haptics, IEEE Transactions on, 8 (1). pp. 54-66. ISSN 1939-1412

surgical video

Varytimidis, Christos, Rapantzikos, Kostas, Loukas, Constantinos and Kollias, Stefanos (2016) Surgical video retrieval using deep neural networks. In: M2CAI 2016, 21 October 2016, Athens, Greece.

surveillance

Owens, Jonathan and Hunter, Andrew (2000) Application of the self-organising map to trajectory classification. In: IEE Visual Surveillance Workshop, 1 July 2000, Dublin, Ireland.

Owens, Jonathan, Hunter, Andrew and Fletcher, Eric (2002) A fast model-free morphology-based object tracking algorithm. In: British Machine Vision Conference 2002, 2nd-5th September 2002, University of Cardiff.

survey

Osa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter and Peters, Jan (2018) An algorithmic perspective on imitation learning. Foundations and Trends in Robotics, 7 (1-2). pp. 1-179. ISSN 1935-8253

swarm robotics

Gebhardt, G. H. W., Daun, K., Schnaubelt, M. and Neumann, G. (2018) Robust learning of object assembly tasks with an invariant representation of robot swarms. In: International Conference on Robotics and Automation (ICRA), 21 - 25 May 2018, Brisbane.

swarm systems

Hüttenrauch, Maximilian, Adrian, Sosic and Neumann, Gerhard (2019) Deep Reinforcement Learning for Swarm Systems. Journal of Machine Learning Research, 20 (54). pp. 1-31. ISSN 1533-7928

swarms

Huttenrauch, Max, Sosic, Adrian and Neumann, Gerhard (2018) Exploiting Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning. In: International Conference for Swarm Intelligence (ANTS).

system integration

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen, Wang, Liang and Chambers, Jonathan (2012) Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Transactions on Information Technology in Biomedicine, 16 (6). pp. 1274-1286. ISSN 1089-7771

textons

Zhang, Lei, Ye, Xujiong, Lambrou, Tryphon, Duan, Wenting, Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155

topological map

Martinez Mozos, Oscar (2008) Semantic place labeling with mobile robots. PhD thesis, University of Freiburg, Germany.

Stachniss, Cyrill, Grisetti, Giorgio, Martinez Mozos, Oscar and Burgard, Wolfram (2007) Efficiently learning metric and topological maps with autonomous service robots. it--Information Technology, 49 (4). pp. 232-237. ISSN 1611-2776

topological mapping

Valgren, Christoffer, Duckett, Tom and Lilienthal, Achim (2007) Incremental spectral clustering and its application to topological mapping. In: Proceedings of ICRA-2007, IEEE International Conference on Robotics and Automation, April 10-14, 2007, Roma, Italy.

trade-offs optimization

Chen, Xiang, Chen, Bowei and Kankanhalli, Mohan (2017) Optimizing trade-offs among stakeholders in real-time bidding by incorporating multimedia metrics. In: SIGIR, 7 - 11 August 2017, Tokyo.

trajectory optimization

Akrour, R., Abdolmaleki, A., Abdulsamad, H., Peters, J. and Neumann, Gerhard (2018) Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. Journal of Machine Learning Research (JMLR), 19 (14). pp. 1-25. ISSN 1532-4435

transfer learning

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

treatment monitoring

Brown, James, Campbell, J. Peter, Beers, Andrew, Chang, Ken, Donohue, Kyra, Ostmo, Susan, Chan, R.V. Paul, Dy, Jennifer, Erdogmus, Deniz, Ioannidis, Stratis, Chiang, Michael F. and Kalpathy-Cramer, Jayashree (2018) Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning. Proceedings of SPIE, 10579 . p. 22. ISSN 1605-7422

unsupervised classi?cation

Khan, Muhammed Salman, Yu, Miao, Feng, Pengming, Wang, Liang and Chambers, Jonathon (2015) An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Processing, 110 . pp. 199-210. ISSN 0165-1684

unsupervised feature clustering

Kollias, Stefanos, Bidaut, Luc, Wingate, James and Kollia, Ilianna (2020) A Unified Deep Learning Approach for Prediction of Parkinson’s Disease. IET Image Processing, 14 (10). pp. 1980-1989. ISSN 1751-9659

unsupervised learning

Cuayahuitl, Heriberto, Lee, Donghyeon, Ryu, Seonghan, Choi, Sungja, Hwang, Inchul and Kim, Jihie (2019) Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. In: International Joint Conference on Neural Networks (IJCNN).

Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong and Brown, James M (2021) Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. arXiv . ISSN 2331-8422

Yu, Miao, Gong, Liyun, Clifford, Ross, Duff, Carol, Ye, Xujiong and Kollias, Stefanos (2019) A monocular camera based person-specific fall detection system exploiting deep neural network aided unsupervised. In: IEEE International Conference on Acoustics, Speech, and Signal Processing.

variance

Riley, Mike J. W. (2011) Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation. PhD thesis, Cranfield University.

variance stabilization

Ni, Ji, Drieberg, Russ H. and Rockett, Peter I. (2013) The use of an analytic quotient operator in genetic programming. IEEE Transactions on Evolutionary Computation, 17 (1). pp. 146-152. ISSN 1089-778X

variational Bayesian inference

De Sousa Ribeiro, Fabio, Caliva, Francesco, Swainson, Mark, Gudmundsson, Kjartan, Leontidis, Georgios and Kollias, Stefanos (2020) Deep Bayesian Self-Training. Neural Computing and Applications, 32 (9). pp. 4275-4291. ISSN 0941-0643

variational inference

De Sousa Ribeiro, Fabio, Leontidis, George and Kollias, Stefanos (2020) Introducing Routing Uncertainty in Capsule Networks. In: 2020 Conference on Neural Information Processing Systems, December 6-12, 2020, Vancouver, Canada.

vision

Dayoub, Feras and Duckett, Tom (2008) An adaptive appearance-based map for long-term topological localization of mobile robots. In: International Conference on Intelligent Robots and Systems 2008, 22-26 September 2008, Nice, France.

vision-based control

Martinez-Marin, Tomas and Duckett, Tom (2008) Learning visual docking for non-holonomic autonomous vehicles. In: The Intelligent Vehicles 2008 Symposium (IV08), June 4-6, 2008, Eindhoven, Netherlands.

voxel person

Yu, Miao, Naqvi, S. M., Rhuma, A. and Chambers, J. (2012) Study of one class boundary method classifiers for application in a video-based fall detection system. IET Computer Vision, 6 (2). pp. 90-100. ISSN 1751-9632

Yu, Miao, Naqvi, Syed Mohsen, Rhuma, Adel and Chambers, Jonathan (2011) Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data. In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 22 - 27 May 2011, Prague, Czech Republic.

Yu, Miao, Rhuma, Adel, Naqvi, Syed Mohsen and Chambers, Jonathan (2011) Fall detection for the elderly in a smart room by using an enhanced one class support vector machine. In: Digital Signal Processing (DSP), 2011 17th International Conference on, 6 - 8 July 2011, Corfu. Greece.

water management

Liakos, Konstantinos, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon and Bochtis, Dionysis (2018) Machine Learning in Agriculture: A Review. Sensors, 18 (8). p. 2674. ISSN 1424-8220

wearable physiological sensors

Sandulescu, Virginia, Andrews, Sally, Ellis, David, Bellotto, Nicola and Martinez Mozos, Oscar (2015) Stress detection using wearable physiological sensors. Lecture Notes in Computer Science, 9107 . pp. 526-532. ISSN 0302-9743

This list was generated on Sun Oct 24 20:02:25 2021 BST.