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Items where Subject is "G760 Machine Learning"

JACS Subject (311)
- G Mathematical and Computer Sciences (311)
  - G760 Machine Learning (311)

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3-D chest CT scan analysis 3D LiDAR-based tracking 3D data 3D perception 3D shape sensing 3D vision 5G AI AWET Adaptation Aerial Vehicles Agri-robotics Agricultural Robotics Agricultural Robots Agricultural robotics Agriculture Algorithm Algorithm design and analysis Algorithms Ambient Assisted Living Animal Behaviour Anomaly Detection Ant colony Artificial Intelligence Artificial Neural Network Artificial intelligence Asymptomatic biotrophic phase Attention networks Audio Embeddings Augmented Intelligence Authorship Identification Automatic classification Automatic controller design Automation Autonomous navigation Autonomous systems Basic safety messages Bayesian Optimization Bayesian melding Behavior recognition Benchmark testing Bias &amp; Variance Big Data Big data Analysis Big geochemical data Black-Box Optimization Blind Source Separation Blogosphere Text Analysis BraTS Brain tumor segmentation Brain-computer interface Built Environment CMA-ES CNN COVID-19 COVID-19 diagnosis COVID19 Diagnosis CRF Camera networks Capsule Networks Car park surveillance Cascade Correlation Causal Discovery Chatbots Chest CTs Chest x-rays Classification Clinical Trial Clogging Fault Clustered Representation Sets Clustering Clustering algorithms Co-forest Cognition Cognitive Psychology Cognitive system Collision avoidance Combustion system Commonsense Computational Intelligence Computational Stylistics Computed response Computer Imaging Computer Science Computer Vision Computer vision Computer-Aided Diagnosis (CAD) Computer-aided diagnosis ConceptNet Condition monitoring Connected vehicle data Context Context - aware language features Context-aware Sentiment Analysis systems Contextual Contextualization Contrastive explanation Convergence Convolution Neural Network Convolutional Neural Networks Convolutional Neural Networks (CNN) Convolutional Recurrent Neural Networks Convolutional neural network Convolutional neural networks Coordination Core diagnostics Counterfactual explanation Crop disease; Machine learning; Neural networks; Nitrogen stress; Hyperspectral sensing Curriculum Learning Cystoid Macular Edema DAGSVM Data Augmentation Data Mining Databases Dataset Decentralised learning Deep Learning Deep Neural Networks Deep Reinforcement Learning Deep Supervised Learning Deep Unsupervised Learning Deep convolutional neural network Deep learning Deep learning Segmentation Echocardiography Deep learning; single-channel blind source separation; nonintrusive load monitoing; Deep reinforcement learning Deep transfer learning network Demand Side Response Depthwise separable convolution Designing overcomplete dictionaries Detection Development Studies Diabetic Retinopathy Dialogue Management Dialogue systems Digital Twins Dimensionality Reduction Dimensionality reduction Display advertising Distributed Computing Domain Adaptation Driving behavior Drone Dry labs ECG classification EEG signals Early Stopping Echocardiography Edge Computing Edge computing Embedded Systems Embedded system Empowerment End-to-end evaluation Energy disaggregation Engineering &amp;amp; Technology Ensembling Environment Environmental monitoring Evaluation Evolutionary Strategy Evolutionary computation Explainable AI FPGA FSD Collection Failure Detection and Recovery Fault Diagnosis Feature Extraction Feature selection Federated learning Field programmable gate arrays (FPGA) Filtering Flowering stage detection Food Manufacturing Force and Tactile Sensing Framework Fruit Image Data Full blood count Gas turbine Gaussian Processes Gaussian mixture model Gene expression Generative adversarial network 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 High resolution time-frequency distributions Human Activity Recognition Human Factors and Human-in-the-Loop Human Robot Collaboration Human Spatial Interaction Human detection Human language technology Human motion analysis Human tracking Human-Robot Collaboration Human-Robot Interaction Human-robot interaction Human–robot interaction Image Processing Image classification Imitation Learning Indoor wayfinding Industrial engineering Industrial gas turbine Infected leaf segmentation Information Retrieval Information Theory Informative Path Planning Initialization Instrumented vehicle data Intelligent robots Interaction Learning Interactive Robots Interactive robots Interest point detectors Internet Internet of Things (IoT) Interpretable DL 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 Leaf lesions grading Learning and Adaptive Systems Learning from demonstration Legged locomotion Life- logging Data. Ligand-protein unbinding Literature Review Local Search Local descriptors Localization Long-Term Autonomy MRI Machine Learning Machine fault detection Machine learning Machine learning architectures Manipulation Markov Decision Process Markov Logic Networks Medical Image Processing. Medical image segmentation Medical imaging Mixture of Gaussians Mobile Robot Navigation. Mobile applications Mobile robotics Mobile robots Model-Based Modelling. Modularity Molecular kinetics Monitoring system 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 Multi-scale fusion attention Multimedia metrics Multimodal interaction Multinomial logit model Multiobjective evolutionary algorithm Multiobjective genetic programming Multiobjective optimisation Multiple cue classification NLTK NVIDIA Jetson TX2 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 One-shot learning Online learning Ontology Optic nerve head Optical Character Verification Optical systems 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 Person Detection Physical Human-Human Interaction Physical Human-Robot Interaction Physical Interaction Piecewise Aggregate ApproximationPiecewise Aggregate Approximation Pipelines Place categorization Planning Plant Phenotyping Pneumonia Point cloud clustering Policy Evaluation Policy Search Potatoes Precision Agriculture 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 Python RACNet 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 Remote sensing 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 localization Robot sensing systems Robot vision systems Robotic Environment Mapping Robotic Exploration Robotic Grasping Robotic Information Gathering Robotic Monitoring Robotic perception Robotics Robustness SARS-CoV-2 SIFT SLAM SPARC SVM classifier Savitzky–Golay adaptive filtering Security Segmentation Self Training Self-supervised Learning Semantic Web Semantic place classification Semantic place information Semantic segmentation for agriculture Semi-Markov Decision Processes Semi-supervised learning Sensor fusion Sentiment Analysis Sequencing Service Robotics Service Robots Service robots Siamese networks Signal Processing Sim-to-Real Similarity layers Simulation Situated interaction Social Activity Classification Social Human-Robot Interactions Software Engineering 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 Speech recognition Spiking neural network(SNN) Spoken dialogue systems Spoken interaction Standardization Standards Statistical Analysis Statistical Physics Statistical inference Statistical methods Statistics Statistics &amp;amp;amp;amp;amp; 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 Tailing storage facilities Task Success Task Timing Task analysis Tea chrysanthemum Template matching Temporal Difference Learning Text Mining Tikhonov regularization Time-frequency analysis Tongue Classification Topological maps Training Trajectory Trajectory Optimization Trajectory classification Trend analysis Tri-training Trust Region Tuberculosis UAV imagery registration UNet Ultrasound image segmentation Unet Unmanned Aerial Vehicles Unmanned aerial vehicles (UAV) Unmanned aircraft system Urban Studies User Engagement User Modeling VADER Validation studies Variational Bayes Variational Inference Vibration Signal Vicinal-risk minimization Video Video Surveillance Virtual environments Vision Visual SLAM Visual Transformer Visual landmarks Visual navigation Visual sensor networks Volumetric Analysis of OCT Scans Wavelength selection Wearable Sensor Western Medicine Witwatersrand Basin Xilinx FPGA YOLO. action recognition activity recognition ad recommendation advantage weighting adversarial examples agent advantage weight agricultural robotics agriculture agrirobotics algorithm algorithm weights analytical optimization. animal behaviour anomaly detection arable fields art andentertainment robotics artificial intelligence assisted mobility assistive living assistive robotics assistive technologies attention audio embeddings automatic early termination technique automatic fetal biometric measurements automation autonomous robot autonomous robots behavioral ecology behavioural cloning behavorial cloning bias big data biological systems bmjdoi bmjgoldcheck bmjholiday bmjtype boundary method capsule neural networs cascade detector causal inference centralised learning chatbots classification classification models clustering co-creative drawing cogx collective behaviour community-friendly complex motion computer vision computer-aided detection (CAD) computer-aided diagnosis computing condition monitoring congenital cranial dysinnervation disorders congenital fibrosis of extraocular muscles context-aware motion prediction contextual stochastic searc continual learning control policies convolutional neural network convolutional neural network autoencoder core monitoring crop management data analysis data visualisation data-driven approach deep learning deep learning; echocardiography; neural architecture search; view classification; AutoML deep neural networks deep reinforcement learning detection 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 eeg electromyography empirical mode decomposition ensemble machine learning ensembling environment perception expert trajectories 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 generative adversarial network genetic programming glioblastoma global latent variables gradient methods grey-box modelling hand posture classification haptic collaboration haptic interaction pattern recognition haptic interfaces haptics-enabled virtual environments harmonization healthcare human action recognition trace transform human detection human interaction patterns human motion prediction human tracking human-human cooperation human-human-interaction dataset human-robot collaboration human-robot interaction image captioning 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 base knowledge co-production knowledge gap detection latent variables learning (artificial intelligence) learning and adaptive systems learning by demonstration leucocyte linear models literature-based discovery livestock management localization long-term robotics 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 monitoring monocyte motion and path planning motion capture motive management mouse tracking movement primitives movement skills multi-agent systems 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 neuro-symbolic neutron noise new protocol nonintrusive load monitoring novelty detection nuclear plant data nuclear power plant core monitoring anomaly prediction nuclear reactor nuclear reactors object tracking office automation offline expert data one class classification one class support vector machine one-class classifier 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 plant phenotyping point cloud policy rollouts policy search precision agriculture precollected demonstrations prediction model principal component analysis qualitative interactions quality of life technologies question answering recognition reinforcement learning reinforcement learning retail food packaging retina retinal ganglion cells retinal vessel retinal vessel segmentation retinopathy retinopathy of prematurity retrieval retro-reflective markers road car accident robot learning robot manipulation robot policy learning robot swarms robot vision robotic vision robotics robots routing routing uncertainty row detection scalable test problems self supervised learning self-localisation self-organising feature maps self-organising map self-organizing neural network semantic annotation of space semantic features semantic information semantic labeling semantic mapping semantic segmentation sensor and cue integration sensor fusion sensor networks sensory descriptive evaluation sentence embeddings sentiment analysis service robotics service robots shape optimisation signal classification signal processing signal reconstruction site-specific weed management sketch-based computing slam smart home soil management solid modelling source separation spectral analysis speech activity detection speech recognition spoken dialogue systems standard robotic tasks statistical analysis stereo image processing stock market trend prediction strawberry harvester stress detection subdivision technique supervised learning support vector machine support vector machines surgical video surveillance survey sustainable community swarm robotics swarm systems swarms system integration textons topological map topological mapping trade-offs optimization trajectory control trajectory optimization transfer learning transformer neural networks transformers treatment monitoring twitter unmanned aerial systems unsupervised classi?cation unsupervised feature clustering unsupervised learning vaccination variance variance stabilization variational Bayesian inference variational inference vision vision-based control visual servoing voxel person water management wearable physiological sensors weed management weed mapping

Number of items at this level: 1260.

3-D chest CT scan analysis

Kollias, Stefanos, Arsenos, Anastasios and Kollias, Dimitrios (2023) A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging. Neurocomputing, 542 . ISSN 0925-2312

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 perception

Heiwolt, Karoline, Duckett, Tom and Cielniak, Grzegorz (2021) Deep semantic segmentation of 3D plant point clouds. In: Towards Autonomous Robotic Systems Conference, 8th-10th September 2021, Lincoln, UK.

3D shape sensing

Le Louedec, Justin and Cielniak, Grzegorz (2021) 3D shape sensing and deep learning-based segmentation of strawberries. Computers and Electronics in Agriculture, 190 . ISSN 0168-1699

3D vision

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).

AWET

Mohtasib, Abdalkarim, Neumann, Gerhard and Cuayahuitl, Heriberto (2022) Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 23-27 October 2022, Kyoto, Japan.

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: 2022 IEEE International Conference on Robotics and Automation (ICRA), 23-27 May 2022, Philadelphia (PA), USA.

Agricultural Robotics

Choi, Taeyeong and Cielniak, Grzegorz (2022) Channel Randomisation with Domain Control for Effective Representation Learning of Visual Anomalies in Strawberries. In: AI for Agriculture and Food Systems, 28-2-2022, Virtual.

Hroob, Ibrahim, Molina Mellado, Sergio, Polvara, Riccardo, Cielniak, Grzegorz and Hanheide, Marc (2023) Learned Long-Term Stability Scan Filtering for Robust Robot Localisation in Continuously Changing Environments. In: European Conference on Mobile Robots (ECMR), 4 - 7 September, Coimbra, Portugal.

Agricultural Robots

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

Agricultural robotics

Qi, Chao, Gao, Junfeng, Pearson, Simon, Harman, Helen, Chen, Kunjie and Shu, Lei (2022) Tea chrysanthemum detection under unstructured environments using the TC-YOLO model. Expert Systems with Applications, 193 . ISSN 0957-4174

Agriculture

Polvara, Riccardo, Molina Mellado, Sergio, Hroob, Ibrahim, Papadimitriou, Alexios, Tsiolis, Konstantinos, Giakoumis, Dimitrios, Likothanassis, Spiridon, Tzovaras, Dimitrios, Cielniak, Grzegorz and Hanheide, Marc (2023) Bacchus Long‐Term (BLT) data set: Acquisition of the agricultural multimodal BLT data set with automated robot deployment. Journal of Field Robotics . ISSN 1556-4959

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.

Animal Behaviour

Choi, Taeyeong, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2022) Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. Artificial Life and Robotics . ISSN 1433-5298

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, Pyenson, Benjamin, Liebig, Juergen and Pavlic, Theodore P. (2021) Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. In: 33rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21), 2 Feb - 9 Feb 2021, Virtual.

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

Ant colony

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

Asymptomatic biotrophic phase

Qi, Chao, Sandroni, Murilo, Westergaard, Jesper Cairo, Høegh Riis Sundmark, Ea, Bagge, Merethe, Alexandersson, Erik and Gao, Junfeng (2022) In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging. Computers and Electronics in Agriculture, 205 . ISSN 01681699

Attention networks

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

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 classification

Mamalakis, Michail, Swift, Andrew J., Vorselaars, Bart, Ray, Surajit, Weeks, Simonne, Ding, Weiping, Clayton, Richard H., Mackenzie, Louise S. and Banerjee, Abhirup (2021) DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Computerized Medical Imaging and Graphics, 94 . p. 102008. ISSN 0895-6111

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 navigation

Cox, Jonathan, Tsagkopoulos, Nikolaos, Rozsypálek, Zdeněk, Krajník, Tomáš, Sklar, Elizabeth and Hanheide, Marc (2023) Visual teach and generalise (VTAG)—Exploiting perceptual aliasing for scalable autonomous robotic navigation in horticultural environments. Computers and Electronics in Agriculture, 212 (108054). ISSN 0168-1699

Autonomous systems

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

Basic safety messages

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

Bias &amp; 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.

Big data Analysis

Nan, Kailiang, Hu, Shengnan, Luo, Haozhe, Wong, Patricia and Pourroostaei Ardakani, Saeid (2023) A Semi-supervised Learning Application for Hand Posture Classification. In: 12th International Conference on Big Data Technologies and Applications.

Big geochemical data

Zhang, Steven E., Nwaila, Glen T., Bourdeau, Julie E., Ghorbani, Yousef and Carranza, Emmanuel John M. (2023) Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields. Artificial Intelligence in Geosciences, 4 . pp. 9-21. ISSN 2666-5441

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.

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

Brain-computer interface

Zareian, Elham (2021) Meta Heuristics based Machine Learning and Neural Mass Modelling Allied to Brain Machine Interface. PhD thesis, University of Lincoln.

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

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

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

Roe, Charlotte, Lowe, Madison, Williams, Benjamin and Miller, Clare (2021) Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis. International Journal of Environmental Research and Public Health, 18 (24). p. 13028. ISSN 1660-4601

COVID-19 diagnosis

COVID19 Diagnosis

Arsenos, Anastasios, Kollias, Dimitrios and Kollias, Stefanos (2022) A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis. In: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop, June 26-29, 2022, Nafplio, Greece.

Kollias, Dimitrios, Arsenos, Anastasios and Kollias, Stefanos (2022) AI-MIA: COVID-19 Detection and Severity Analysis through Medical Imaging. In: ECCV 2022, 23-27/10/2022, Tel Aviv Israel.

Zhang, Lei and Wen, Yan (2021) A Transformer-Based Framework for Automatic COVID19 Diagnosis in Chest CTs. In: The IEEE/CVF International Conference on Computer Vision (ICCV).

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

Causal Discovery

Castri, Luca, Mghames, Sariah, Hanheide, Marc and Bellotto, Nicola (2022) Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions. In: International Conference on Social Robotics (ICSR).

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.

Chest CTs

Zhang, Lei and Wen, Yan (2021) A Transformer-Based Framework for Automatic COVID19 Diagnosis in Chest CTs. In: The IEEE/CVF International Conference on Computer Vision (ICCV).

Chest x-rays

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

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

Clustering algorithms

Co-forest

Cognition

Cognitive Psychology

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

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.

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

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.

Pasti, Francesco and Bellotto, Nicola (2023) Evaluation of Computer Vision-Based Person Detection on Low-Cost Embedded Systems. In: 18th International Conference on Computer Vision Theory and Applications (VISAPP), 19-21 February 2023, Lisbon, Portugal.

Computer vision

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

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

Computer-Aided Diagnosis (CAD)

Armstrong, Kai, Wen, Yan, Zhang, Lei, Ye, Xujiong and Lee, Paul (2022) Novel Clinical Applications of Marker-less Motion Capture as a Low-cost Human Motion Analysis Method in the Detection and Treatment of Knee Osteoarthritis. Journal of Arthritis, 11 (1). 001-005. ISSN 2167-7921

Computer-aided diagnosis

Xu, Qing, Ma, Zhicheng, He, Na and Duan, Wenting (2023) DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation. Computers in Biology and Medicine, 154 . p. 106626. ISSN 0010-4825

ConceptNet

Condition monitoring

Connected vehicle data

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

Context-aware Sentiment Analysis systems

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

Contrastive explanation

Tariq, Syed Ali, Zia, Tehseen and Ghafoor, Mubeen (2022) Towards counterfactual and contrastive explainability and transparency of DCNN image classifiers. Knowledge-Based Systems, 257 (109901). ISSN 0950-7051

Convergence

Convolution Neural Network

Convolutional Neural Networks

Convolutional Neural Networks (CNN)

Atanbori, John and Rose, Samuel (2022) MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers. Neurocomputing, 509 . pp. 1-10. ISSN 0925-2312

Convolutional Recurrent Neural Networks

Convolutional neural network

Ali Khan, Nabeel, Mohammadi, Mokhtar, Ghafoor, Mubeen and Tariq, Syed Ali (2022) Convolutional Neural Networks Based Time-Frequency Image Enhancement For the Analysis of EEG Signals. Multidimensional Systems and Signal Processing, 33 . pp. 863-877. ISSN 863–877

Convolutional neural networks

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.

Counterfactual explanation

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

Curriculum Learning

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

Data Mining

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

Decentralised learning

Pourroostaei Ardakani, Saeid, Du, Nanjiang, Lin, Chenhong, Yang, Jiun‑Chi, Bi, Zhuoran and Chen, Lejun (2023) A federated learning-enabled predictive analysis to forecast stock market trends. Journal of Ambient Intelligence and Humanized Computing, 14 . pp. 4529-4535. ISSN 1868-5137

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.

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

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).

Deep Neural Networks

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).

Wang, Ni, Das, Gautham and Millard, Alan (2022) Learning Cooperative Behaviours in Adversarial Multi-agent Systems. In: Towards Autonomous Robotic Systems, Oxford.

Deep Supervised Learning

Deep Unsupervised Learning

Deep convolutional neural network

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.

Latif, Siddique, Cuayahuitl, Heriberto, Pervez, Farrukh, Shamshad, Fahad, Shehbaz Ali, Hafiz and Cambria, Erik (2022) A survey on deep reinforcement learning for audio‑based applications. Artifcial Intelligence Review . ISSN 0269-2821

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

Deep transfer learning network

Demand Side Response

Depthwise separable convolution

Designing overcomplete dictionaries

Detection

Development Studies

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

Diabetic Retinopathy

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.

Digital Twins

Anda, Ilyasu, Mishra, Rakesh, Aliyu, Aliyu and UNSPECIFIED (2022) Data Security Management Framework for Digital Twins of Industrial Pipeline. In: ICMIAM, 12-15 December 2021, Ballarat, Australia.

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

Domain Adaptation

Driving behavior

Drone

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

Dry labs

ECG classification

EEG signals

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.

Echocardiography

Edge Computing

Edge computing

Qi, Chao, Gao, Junfeng, Chen, Kunjie, Shu, Lei and Pearson, Simon (2022) Tea Chrysanthemum Detection by Leveraging Generative Adversarial Networks and Edge Computing. Frontiers in plant science . ISSN 1664-462X

Embedded Systems

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

Energy disaggregation

Engineering &amp;amp; Technology

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

Ensembling

Environment

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

Environmental monitoring

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

Evolutionary computation

Explainable AI

FPGA

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

FSD Collection

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

Feature Extraction

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

Federated learning

Field programmable gate arrays (FPGA)

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

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.

Flowering stage detection

Food Manufacturing

Force and Tactile Sensing

Framework

Fruit Image Data

Full blood count

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

Generative adversarial network

Genetic Programming

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

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

Group Extraction

HCI

HRI

Del Duchetto, Francesco and Hanheide, Marc (2022) Learning on the Job: Long-Term Behavioural Adaptation in Human-Robot Interactions. IEEE Robotics and Automation Letters, 7 (3). pp. 6934-6941. ISSN 2377-3766

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

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, 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

Heat Exchanger

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

High resolution time-frequency distributions

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

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 Spatial Interaction

Human detection

Human language technology

Human motion analysis

Human tracking

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

Image classification

Imitation Learning

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

Industrial gas turbine

Infected leaf segmentation

Li, Xinzhou, Gao, Junfeng, Jin, Shichao, Jiang, Chunxin, Zhao, Mingming and Lu, Mingzhou (2023) Towards robust registration of heterogeneous multispectral UAV imagery: A two-stage approach for cotton leaf lesion grading. Computers and Electronics in Agriculture, 212 . ISSN 0168-1699

Information Retrieval

Information Theory

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

Initialization

Instrumented vehicle data

Intelligent robots

Interaction Learning

Interactive Robots

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

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)

Interpretable DL

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

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

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

Kernel

Kernel-Based Methods

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

LSTM

Landing of Unmanned Aerial Vehicle

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

Leaf lesions grading

Learning and Adaptive Systems

Learning from demonstration

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.

Ligand-protein unbinding

Badaoui, Magd, Buigues, Pedro, Berta, Denes, Mandana, Guarav, Gu, Hankang, Földes, Tamás, Dickson, Callum, Hornak, Viktor, Kato, Mitsunori, Molteni, Carla, Parsons, Simon and Rosta, Edina (2022) Combined Free-Energy Calculation and Machine Learning Methods for Understanding Ligand Unbinding Kinetics. Journal of Chemical Theory and Computation, 18 (4). pp. 2543-2555. ISSN 1549-9618

Literature Review

Akinsanya, B., Araujo, L.J., Charikova, M., Gimaeva, S., Grichshenko, A., Khan, A., Mazzara, M., Okonicha, O., Daniil, S., Kalenkova, A., Lozano, J. A. and Yavorskiy, R. (2019) Machine learning and value generation in software development: a survey. In: 5th International Conference, TMPA, 7 – 9 November 2019, Tbilisi, Georgia.

Local Search

Local descriptors

Localization

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

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

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)

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, 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.

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

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

Yan, Zhi, Sun, Li, Krajnik, Tomas, Duckett, Tom and Bellotto, Nicola (2023) Towards Long-term Autonomy: A Perspective from Robot Learning. In: AAAI Bridge Program “AI and Robotics”, 7 February 2023, Washington, DC, USA.

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

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

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

Machine learning architectures

Le Louedec, Justin and Cielniak, Grzegorz (2021) 3D shape sensing and deep learning-based segmentation of strawberries. Computers and Electronics in Agriculture, 190 . ISSN 0168-1699

Manipulation

Markov Decision Process

Markov Logic Networks

Medical Image Processing.

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

Medical image segmentation

Medical imaging

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.

Mobile applications

Mobile robotics

Hroob, Ibrahim, Molina Mellado, Sergio, Polvara, Riccardo, Cielniak, Grzegorz and Hanheide, Marc (2023) S-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects. In: 18th International Conference on Intelligent Autonomous Systems, 4 July—7 July, Suwon, Korea.

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

Model-Based

Modelling.

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

Molecular kinetics

Monitoring system

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.

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

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., 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

Movie Reviews Dataset

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, 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

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

Multi-scale fusion attention

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

Multinomial logit model

Multiobjective evolutionary algorithm

Multiobjective genetic programming

Multiobjective optimisation

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

NLTK

NVIDIA Jetson TX2

Natural Language Processing

Navigation

Networking

Neural Chatbots

Neural Networks

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

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).

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

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

NotOAChecked

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

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

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

Nuclear Reactors

One-shot learning

Atanbori, John and Rose, Samuel (2022) MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers. Neurocomputing, 509 . pp. 1-10. ISSN 0925-2312

Online learning

Ontology

Optic nerve head

Optical Character Verification

Optical systems

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

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

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

Particle size distribution

Partitioning algorithms

Path Integrals

Pattern Recognition

Pattern recognition

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

Person Detection

Physical Human-Human Interaction

Physical Human-Robot Interaction

Physical Interaction

Piecewise Aggregate ApproximationPiecewise Aggregate Approximation

Pipelines

Anda, Ilyasu, Mishra, Rakesh, Aliyu, Aliyu and UNSPECIFIED (2022) Data Security Management Framework for Digital Twins of Industrial Pipeline. In: ICMIAM, 12-15 December 2021, Ballarat, Australia.

Place categorization

Planning

Plant Phenotyping

Pneumonia

Point cloud clustering

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).

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

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

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 -

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.

Potatoes

Precision Agriculture

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

Precision agriculture

Prediction

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

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

Python

RACNet

RGB-D sensing

ROC Curves

RST

Radiology

Random Forest

Real-Time

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

Recurrent Neural Networks

Regression

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

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

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, 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).

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

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.

Wang, Ni, Das, Gautham and Millard, Alan (2022) Learning Cooperative Behaviours in Adversarial Multi-agent Systems. In: Towards Autonomous Robotic Systems, Oxford.

Reinfrocement Learning

Remote sensing

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

Retina

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

Retinal fundus image

Retinal optic disc

Reverse Geocoding

Reward Function Learning

Reward Learning

Road Accidents

Robot Learning

Robot Skill Learning

Robot Soccer

Robot localization

Robot sensing systems

Robot vision systems

Robotic Environment Mapping

Robotic Exploration

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

Robotic Monitoring

Robotic perception

Robotics

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

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

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

Robustness

SARS-CoV-2

SIFT

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

Savitzky–Golay adaptive filtering

Security

Segmentation

Self Training

Self-supervised Learning

Semantic Web

Semantic place classification

Semantic place information

Semantic segmentation for agriculture

Le Louedec, Justin and Cielniak, Grzegorz (2021) 3D shape sensing and deep learning-based segmentation of strawberries. Computers and Electronics in Agriculture, 190 . ISSN 0168-1699

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

Semi-supervised learning

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

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.

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

Service robots

Siamese networks

Atanbori, John and Rose, Samuel (2022) MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers. Neurocomputing, 509 . pp. 1-10. ISSN 0925-2312

Signal Processing

Sim-to-Real

Similarity layers

Atanbori, John and Rose, Samuel (2022) MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers. Neurocomputing, 509 . pp. 1-10. ISSN 0925-2312

Simulation

Le Louedec, Justin and Cielniak, Grzegorz (2021) 3D shape sensing and deep learning-based segmentation of strawberries. Computers and Electronics in Agriculture, 190 . ISSN 0168-1699

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

Social Human-Robot Interactions

Software Engineering

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

Spatiotemporal phenomena

Speech recognition

Spiking neural network(SNN)

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

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

Standardization

Standards

Statistical Analysis

Statistical Physics

Statistical inference

Statistical methods

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

Statistics

Statistics &amp;amp;amp;amp;amp; Numerical data

Stochasic Search

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

Subdivision method

Support Vector Machine

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.

Swarm Behavior

Swarm of Desert Locusts

Swarms

Symbolic regression

Tactile Feedback

Tailing storage facilities

Task Success

Task Timing

Task analysis

Tea chrysanthemum

Template matching

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

Tikhonov regularization

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

Time-frequency analysis

Tongue Classification

Topological maps

Training

Trajectory

Trajectory Optimization

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

Tri-training

Trust Region

Tuberculosis

UAV imagery registration

UNet

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

Ultrasound image segmentation

Unet

Unmanned Aerial Vehicles

Unmanned aerial vehicles (UAV)

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

Unmanned aircraft system

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

Urban Studies

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

User Engagement

User Modeling

VADER

Validation studies

Variational Bayes

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.

Vibration Signal

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

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

Vision

Visual SLAM

Visual Transformer

Zhang, Lei and Wen, Yan (2021) A Transformer-Based Framework for Automatic COVID19 Diagnosis in Chest CTs. In: The IEEE/CVF International Conference on Computer Vision (ICCV).

Visual landmarks

Visual navigation

Visual sensor networks

Volumetric Analysis of OCT Scans

Wavelength selection

Wearable Sensor

Western Medicine

Witwatersrand Basin

Xilinx FPGA

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

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

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.

advantage weighting

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

agent advantage weight

agricultural robotics

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

agrirobotics

algorithm

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

algorithm weights

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.

arable fields

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

art andentertainment robotics

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

assistive living

assistive robotics

assistive technologies

attention

Abdal Hafeth, Deema, Kollias, Stefanos and Ghafoor, Mubeen (2023) Semantic Representations with Attention Networks for Boosting Image Captioning. IEEE Access, 11 . pp. 40230-40239. ISSN 2169-3536

audio embeddings

Lopez Zorrilla, Asier, Torres, M. Ines and Cuayahuitl, Heriberto (2022) Audio Embedding-Aware Dialogue Policy Learning. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 31 . pp. 525-538. ISSN 1558-7916, 2329-9290

automatic early termination technique

automatic fetal biometric measurements

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

autonomous robots

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

behavioral ecology

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.

big data

Pourroostaei Ardakani, Saeid, Liang, Xiangning, Mengistu, Kal Tenna, Wei, Xuhui, He, Bao-Jie and cheshmehzangi, ali (2023) Road Car Accident Prediction Using a Machine-Learning-Enabled Data Analysis. Sustainability, 15 (7). ISSN 2071-1050

biological systems

bmjdoi

bmjgoldcheck

bmjholiday

bmjtype

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.

causal inference

Castri, Luca, Mghames, Sariah and Bellotto, Nicola (2023) From Continual Learning to Causal Discovery in Robotics. In: AAAI Bridge Program “Continual Causality”, 7-8 February 2023, Washington, DC, USA.

centralised learning

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. In: Towards Autonomous Robotic Systems Conference (TAROS), September 8-10, 2021.

cogx

collective behaviour

community-friendly

complex motion

computer vision

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

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

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

context-aware motion prediction

Mghames, Sariah, Castri, Luca, Hanheide, Marc and Bellotto, Nicola (2023) A Neuro-Symbolic Approach for Enhanced Human Motion Prediction. In: International Joint Conference on Neural Networks (IJCNN), 18-23 June 2023, Queensland, Australia.

contextual stochastic searc

continual learning

control policies

convolutional neural network

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.

core monitoring

Kollias, Stefanos, Yu, Miao and Wingate, James (2022) Machine Learning for Analysis of Real Nuclear Plant Data in the Frequency Domain. Annals of Nuclear Energy, 177 (109293). ISSN 0306-4549

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

data-driven approach

deep learning

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

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

Raza, Sajjadali and Cuayahuitl, Heriberto (2022) A comparison of neural‑based visual recognisers for speech activity detection. International Journal of Speech Technology . ISSN 1572-8110

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.

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.

Cédérick, Mouliets, Ferrané, Isabelle and Cuayahuitl, Heriberto (2021) Reward-Based Environment States for Robot Manipulation Policy Learning. In: NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems (DDM).

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

detection

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

diabetes mellitus

diabetic retinopathy

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

diagnosis

discourse RST

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

distributed processing

domain adaptation

domotics

drug-disease relationship

dyadic joint object manipulation

dynamic multiobjective optimization

dynamics

eHealth

early stopping

educational robotics

eeg

Zareian, Elham (2021) Meta Heuristics based Machine Learning and Neural Mass Modelling Allied to Brain Machine Interface. PhD thesis, University of Lincoln.

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

ensemble machine learning

ensembling

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

expert trajectories

extrospection

face recognition

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

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.

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

feature extraction

fetal femur

fetal head

food technology

fundus image analysis

furniture

fuzzy one class support vector machine

generative adversarial network

genetic programming

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

glioblastoma

global latent variables

gradient methods

grey-box modelling

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

hand posture classification

haptic collaboration

haptic interaction pattern recognition

haptic interfaces

haptics-enabled virtual environments

harmonization

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

human motion prediction

human tracking

human-human cooperation

human-human-interaction dataset

human-robot collaboration

human-robot interaction

image captioning

Abdal Hafeth, Deema, Kollias, Stefanos and Ghafoor, Mubeen (2023) Semantic Representations with Attention Networks for Boosting Image Captioning. IEEE Access, 11 . pp. 40230-40239. ISSN 2169-3536

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

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

introspection

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

kernel methods

knowledge base

Abdal Hafeth, Deema, Kollias, Stefanos and Ghafoor, Mubeen (2023) Semantic Representations with Attention Networks for Boosting Image Captioning. IEEE Access, 11 . pp. 40230-40239. ISSN 2169-3536

knowledge co-production

knowledge gap detection

latent variables

learning (artificial intelligence)

learning and adaptive systems

learning by demonstration

leucocyte

linear models

literature-based discovery

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

long-term robotics

machine learning

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

Kollias, Dimitrios, Arsenos, Anastasios and Kollias, Stefanos (2022) AI-MIA: COVID-19 Detection and Severity Analysis through Medical Imaging. In: ECCV 2022, 23-27/10/2022, Tel Aviv Israel.

Kollias, Stefanos, Yu, Miao and Wingate, James (2022) Machine Learning for Analysis of Real Nuclear Plant Data in the Frequency Domain. Annals of Nuclear Energy, 177 (109293). ISSN 0306-4549

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

Zareian, Elham (2021) Meta Heuristics based Machine Learning and Neural Mass Modelling Allied to Brain Machine Interface. PhD thesis, University of Lincoln.

machine learning methods

machine reading

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

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

mask fusion

medical imaging

Kollias, Dimitrios, Arsenos, Anastasios and Kollias, Stefanos (2022) AI-MIA: COVID-19 Detection and Severity Analysis through Medical Imaging. In: ECCV 2022, 23-27/10/2022, Tel Aviv Israel.

medical prediction

medical signal processing

metric map

mobile robot

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.

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.

mobile robots

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

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.

monitoring

Hobden, Peter, Srivastava, Saket and Nurellari, Edmond (2022) FPGA-based CNN for Real-time UAV Tracking and Detection. Frontiers in Space Technologies, 3 . p. 878010. ISSN 2673-5075

monocyte

motion and path planning

motion capture

motive management

mouse tracking

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-agent systems

Wang, Ni, Das, Gautham and Millard, Alan (2022) Learning Cooperative Behaviours in Adversarial Multi-agent Systems. In: Towards Autonomous Robotic Systems, Oxford.

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

neuro-symbolic

neutron noise

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

novelty detection

nuclear plant data

Kollias, Stefanos, Yu, Miao and Wingate, James (2022) Machine Learning for Analysis of Real Nuclear Plant Data in the Frequency Domain. Annals of Nuclear Energy, 177 (109293). ISSN 0306-4549

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

nuclear reactors

object tracking

office automation

offline expert data

one class classification

one class support vector machine

one-class classifier

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

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

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

plant phenotyping

point cloud

policy rollouts

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

precision agriculture

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

precollected demonstrations

prediction model

principal component analysis

qualitative interactions

quality of life technologies

question answering

recognition

reinforcement learning

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.

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

retina

retinal ganglion cells

retinal vessel

retinal vessel segmentation

retinopathy

retinopathy of prematurity

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

road car accident

robot learning

robot manipulation

robot policy learning

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

robotic vision

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

robotics

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.

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.

robots

routing

routing uncertainty

row detection

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

scalable test problems

self supervised learning

Kollias, Stefanos, Yu, Miao and Wingate, James (2022) Machine Learning for Analysis of Real Nuclear Plant Data in the Frequency Domain. Annals of Nuclear Energy, 177 (109293). ISSN 0306-4549

self-localisation

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

semantic annotation of space

semantic features

Abdal Hafeth, Deema, Kollias, Stefanos and Ghafoor, Mubeen (2023) Semantic Representations with Attention Networks for Boosting Image Captioning. IEEE Access, 11 . pp. 40230-40239. ISSN 2169-3536

semantic information

semantic labeling

semantic mapping

semantic segmentation

sensor and cue integration

sensor fusion

sensor networks

sensory descriptive evaluation

sentence embeddings

sentiment analysis

service robotics

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

signal classification

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

site-specific weed management

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

sketch-based computing

slam

smart home

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

source separation

spectral analysis

speech activity detection

Raza, Sajjadali and Cuayahuitl, Heriberto (2022) A comparison of neural‑based visual recognisers for speech activity detection. International Journal of Speech Technology . ISSN 1572-8110

speech recognition

spoken dialogue systems

standard robotic tasks

statistical analysis

stereo image processing

stock market trend prediction

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

subdivision technique

supervised learning

support vector machine

support vector machines

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.

survey

sustainable community

swarm robotics

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

system integration

textons

topological map

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

topological mapping

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 control

trajectory optimization

transfer learning

transformer neural networks

transformers

Abdal Hafeth, Deema, Kollias, Stefanos and Ghafoor, Mubeen (2023) Semantic Representations with Attention Networks for Boosting Image Captioning. IEEE Access, 11 . pp. 40230-40239. ISSN 2169-3536

treatment monitoring

twitter

unmanned aerial systems

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

unsupervised classi?cation

unsupervised feature clustering

unsupervised learning

Kollias, Stefanos, Yu, Miao and Wingate, James (2022) Machine Learning for Analysis of Real Nuclear Plant Data in the Frequency Domain. Annals of Nuclear Energy, 177 (109293). ISSN 0306-4549

vaccination

variance

variance stabilization

variational Bayesian inference

variational inference

vision

vision-based control

visual servoing

De Silva, Rajitha, Cielniak, Grzegorz, Wang, Gang and Gao, Junfeng (2023) Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots. Journal of Field Robotics . ISSN 1556-4959

voxel person

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

weed management

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

weed mapping

Cox, Jonathan, Li, Dom, Fox, Charles and Coutts, Shaun (2023) Black-grass (Alopecurus myosuroides) in cereal multispectral detection by UAV. Weed Science . ISSN 0043-1745

This list was generated on Fri Sep 22 15:06:17 2023 BST.

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Items where Subject is "G760 Machine Learning"

3-D chest CT scan analysis

3D LiDAR-based tracking

3D data

3D perception

3D shape sensing

3D vision

5G

AI

AWET

Adaptation

Aerial Vehicles

Agri-robotics

Agricultural Robotics

Agricultural Robots

Agricultural robotics

Agriculture

Algorithm

Algorithm design and analysis

Algorithms

Ambient Assisted Living

Animal Behaviour

Anomaly Detection

Ant colony

Artificial Intelligence

Artificial Neural Network

Artificial intelligence

Asymptomatic biotrophic phase

Attention networks

Audio Embeddings

Augmented Intelligence

Authorship Identification

Automatic classification

Automatic controller design

Automation

Autonomous navigation

Autonomous systems

Basic safety messages

Bayesian Optimization

Bayesian melding

Behavior recognition

Benchmark testing

Bias &amp;amp; Variance

Big Data

Big data Analysis

Big geochemical data

Black-Box Optimization

Blind Source Separation

Blogosphere Text Analysis

BraTS

Brain tumor segmentation

Brain-computer interface

Built Environment

CMA-ES

CNN

COVID-19

COVID-19 diagnosis

COVID19 Diagnosis

CRF

Camera networks

Capsule Networks

Car park surveillance

Cascade Correlation

Causal Discovery

Chatbots

Chest CTs

Chest x-rays

Classification

Clinical Trial

Clogging Fault

Clustered Representation Sets

Clustering

Clustering algorithms

Co-forest

Cognition

Cognitive Psychology

Cognitive system

Collision avoidance

Combustion system

Commonsense

Bias & Variance