| Developing optimal causal cyber-defence agents via cyber security simulation A Andrew, S Spillard, J Collyer, N Dhir arXiv preprint arXiv:2207.12355, 2022 | 41 | 2022 |
| Prospective artificial intelligence approaches for active cyber defence N Dhir, H Hoeltgebaum, N Adams, M Briers, A Burke, P Jones arXiv preprint arXiv:2104.09981, 2021 | 39 | 2021 |
| Dynamic causal Bayesian optimization V Aglietti, N Dhir, J González, T Damoulas Advances in Neural Information Processing Systems 34, 10549-10560, 2021 | 35 | 2021 |
| Locomotion Envelopes for Adaptive Control of Powered Ankle Prostheses N Dhir, H Dallali, EM Ficanha, GA Ribeiro, M Rastgaar Robotics and Automation (ICRA), 2018 IEEE International Conference on, 2018 | 31 | 2018 |
| Causal entropy optimization N Branchini, V Aglietti, N Dhir, T Damoulas International Conference on Artificial Intelligence and Statistics, 8586-8605, 2023 | 13 | 2023 |
| Identifying robust markers of Parkinson’s disease in typing behaviour using a CNN-LSTM network N Dhir, M Edman, ÁS Ferro, T Stafford, C Bannard Proceedings of the 24th conference on computational natural language …, 2020 | 9 | 2020 |
| Interpreting lion behaviour with nonparametric probabilistic programs N Dhir, M Vakar, AC Markham, F Wijers, Wood, M, P Trethowan, ... Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2017 | 8 | 2017 |
| Bayesian Delay Embeddings for Dynamical Systems N Dhir, AR Kosiorek, I Posner NIPS Time Series Workshop 2017, 2017 | 7 | 2017 |
| An automatic type-inferential general latent feature model N Dhir, T Rudny, D Zilli, A Tosi 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 5 | 2020 |
| Boltzmann exploration expectation-maximisation M Edman, N Dhir arXiv preprint arXiv:1912.08869, 2019 | 4 | 2019 |
| Nonparametric Bayesian models for unsupervised activity recognition and tracking N Dhir, Y Perov, F Wood Proceedings of the Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ …, 2016 | 4 | 2016 |
| Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search K Hammar, N Dhir, R Stadler arXiv preprint arXiv:2407.11070, 2024 | 3 | 2024 |
| An expectation-based network scan statistic for a covid-19 early warning system C Haycock, E Thorpe-Woods, J Walsh, P O'Hara, O Giles, N Dhir, ... arXiv preprint arXiv:2012.07574, 2020 | 3 | 2020 |
| Tracking African Lions with Nonparametric Hierarchical Models using Probabilistic Programming N Dhir, Y Perov, M Wijers, F Wood, A Markham, P Trethowan, B du Preez, ... Proceedings of the International Society of Bayesian Analysis (ISBA) 2016 …, 2016 | 3 | 2016 |
| Near real-time social distance estimation in London J Walsh, O Kesa, A Wang, M Ilas, P O’Hara, O Giles, N Dhir, M Girolami, ... The Computer Journal 67 (1), 95-109, 2024 | 2 | 2024 |
| Automatic Type Inference with a Nested Latent Variable Model N Dhir, D Zilli, A Rudny, Tomasz, Tosi International Workshop on Automatic Machine Learning 2018, 2018 | 2 | 2018 |
| Bayesian nonparametric methods for dynamics identification and segmentation for powered prosthesis control N Dhir University of Oxford, 2017 | 2 | 2017 |
| Improved activity recognition via Kalman smoothing and multiclass linear discriminant analysis N Dhir, F Wood Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2014 …, 2014 | 2 | 2014 |
| Chronological causal bandits N Dhir arXiv preprint arXiv:2112.01819, 2021 | 1 | 2021 |
| Kriging for prosthesis control N Dhir Powered Prostheses, 57-112, 2020 | 1 | 2020 |
Theodoros (Theo) DamoulasProfessor, CS+Stats, University of Warwick - UKRI Turing AI Fellowwarwick.ac.uk의 이메일 확인됨