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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Wirth, 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

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

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

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

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

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

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

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

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

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

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

Zhang, 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

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

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

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

Review

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

Book Section

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

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

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

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

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

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

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

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

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

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

Conference or Workshop contribution

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

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

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

Abdolmaleki, 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

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.

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.

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, 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).

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.

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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.

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.

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.

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.

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..

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.

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.

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.

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.

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.

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.

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.

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.

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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.

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).

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.

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).

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.

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.

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.

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.

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.

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.

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.

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

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).

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.

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.

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.

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.

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.

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).

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, Jensfelt, Patric, Zender, Hendrik, Kruijff, Geert-Jan M. and Burgard, Wolfram (2007) From labels to semantics: an integrated system for conceptual spatial representations of indoor environments for mobile robots. In: IEEE/RSJ IROS 2007 Workshop: From Sensors to Human Spatial Concepts, 2 November 2007, San Diego, California.

Martinez Mozos, Oscar, 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.

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.

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.

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.

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

Mohtasib, Abdalkarim, Neumann, Gerhard and Cuayahuitl, Heriberto (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.

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).

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

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

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

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

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.

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.

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.

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.

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.

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.

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

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

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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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.

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.

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

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.

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.

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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.

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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.

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.

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).

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

Zhang, Yu, 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.

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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.

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.

Book or Monograph

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)

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

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

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

Thesis

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

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

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.

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.

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