| Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques M Ngxande, JR Tapamo, M Burke 2017 pattern recognition Association of South Africa and Robotics and …, 2017 | 160 | 2017 |
| Residual learning from demonstration T Davchev, KS Luck, M Burke, F Meier, S Schaal, S Ramamoorthy IEEE Robotics and Automation Letters, 2022, 2022 | 72 | 2022 |
| Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video M Jaques, M Burke, T Hospedales ICLR 2019, 2019 | 64* | 2019 |
| Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation M Burke 2012 IEEE International Conference on Robotics and Automation, 97-102, 2012 | 56 | 2012 |
| Bias remediation in driver drowsiness detection systems using generative adversarial networks M Ngxande, JR Tapamo, M Burke IEEE Access 8, 55592-55601, 2020 | 50 | 2020 |
| Estimating missing marker positions using low dimensional Kalman smoothing M Burke, J Lasenby Journal of biomechanics 49 (9), 1854-1858, 2016 | 50 | 2016 |
| Vid2Param: Modelling of Dynamics Parameters From Video M Asenov, M Burke, D Angelov, T Davchev, K Subr, S Ramamoorthy IEEE ROBOTICS AND AUTOMATION LETTERS 5 (2), 2872-2872, 2020 | 33* | 2020 |
| Disentangled Relational Representations for Explaining and Learning from Demonstration Y Hristov, D Angelov, M Burke, A Lascarides, S Ramamoorthy Conference on Robot Learning (CoRL), 2019 | 32 | 2019 |
| Challenges of driver drowsiness prediction: The remaining steps to implementation E Perkins, C Sitaula, M Burke, F Marzbanrad IEEE Transactions on Intelligent Vehicles 8 (2), 1319-1338, 2022 | 31 | 2022 |
| Pantomimic gestures for human–robot interaction M Burke, J Lasenby IEEE Transactions on Robotics 31 (5), 1225-1237, 2015 | 25 | 2015 |
| Time-varying causality between equity and currency returns in the United Kingdom: Evidence from over two centuries of data P Kanda, M Burke, R Gupta Physica A: Statistical Mechanics and its Applications 506, 1060-1080, 2018 | 24 | 2018 |
| Newtonianvae: Proportional control and goal identification from pixels via physical latent spaces M Jaques, M Burke, TM Hospedales Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| From explanation to synthesis: Compositional program induction for learning from demonstration M Burke, S Penkov, S Ramamoorthy Robotics: Science and Systems, 2019 | 23 | 2019 |
| Composing Diverse Policies for Temporally Extended Tasks D Angelov, Y Hristov, M Burke, S Ramamoorthy Robotics and Automation Letters (RA-L), 2020 | 19 | 2020 |
| Hybrid system identification using switching density networks M Burke, Y Hristov, S Ramamoorthy Conference on Robot Learning (CoRL), 2019 | 16 | 2019 |
| Learning rewards from exploratory demonstrations using probabilistic temporal ranking M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy Autonomous Robots 47 (6), 733-751, 2023 | 15* | 2023 |
| Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms M Ngxande, JR Tapamo, M Burke 2020 International SAUPEC/RobMech/PRASA Conference, 2020 | 15 | 2020 |
| Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations Z Jiang, Y Bi, M Zhou, Y Hu, M Burke, N Navab The International Journal of Robotics Research 43 (7), 981-1002, 2024 | 13 | 2024 |
| DepthwiseGANs: Fast training generative adversarial networks for realistic image synthesis M Ngxande, JR Tapamo, M Burke 2019 Southern African Universities Power Engineering Conference/Robotics and …, 2019 | 12 | 2019 |
| Learning structured representations of spatial and interactive dynamics for trajectory prediction in crowded scenes T Davchev, M Burke, S Ramamoorthy IEEE Robotics and Automation Letters 6 (2), 707-714, 2020 | 9* | 2020 |
Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of Edinburgh確認したメール アドレス: ed.ac.uk