| A pilot study on detecting violence in videos fusing proxy models MR Vilamala, L Hiley, Y Hicks, A Preece, F Cerutti 2019 22th international conference on information fusion (FUSION), 1-8, 2019 | 23 | 2019 |
| Explainable deep learning for video recognition tasks: A framework & recommendations L Hiley, A Preece, Y Hicks arXiv preprint arXiv:1909.05667, 2019 | 20 | 2019 |
| Explaining motion relevance for activity recognition in video deep learning models L Hiley, A Preece, Y Hicks, S Chakraborty, P Gurram, R Tomsett arXiv preprint arXiv:2003.14285, 2020 | 13 | 2020 |
| Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition L Hiley, A Preece, Y Hicks, H Taylor, D Marshall arXiv preprint arXiv:1908.01536, 2019 | 12 | 2019 |
| VADR: Discriminative multimodal explanations for situational understanding H Taylor, L Hiley, J Furby, A Preece, D Braines 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | 11 | 2020 |
| Coalition situational understanding via explainable neuro-symbolic reasoning and learning AD Preece, D Braines, F Cerutti, J Furby, L Hiley, L Kaplan, M Law, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021 | 8 | 2021 |
| An experimentation platform for explainable coalition situational understanding K Barrett-Powell, J Furby, L Hiley, MR Vilamala, H Taylor, F Cerutti, ... arXiv preprint arXiv:2010.14388, 2020 | 4 | 2020 |
| Technical barriers to the adoption of post-hoc explanation methods for black box AI models E Lee, H Taylor, L Hiley, R Tomsett Overcoming opacity in machine learning, 12-13, 2021 | 1 | 2021 |
| Explaining Temporal Information in Activity Recognition for Situational Understanding L Hiley, H Taylor, A Preece, Y Hicks, D Marshall, S Chakraborty, P Gurram | | |
Alun PreeceCardiff University - Security Crime and Intelligence Innovation Institute在 cardiff.ac.uk 的电子邮件经过验证
