| Interpretability of deep learning models: A survey of results S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ... 2017 IEEE smartworld, ubiquitous intelligence & computing, advanced …, 2017 | 594 | 2017 |
| Stakeholders in explainable AI A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty AAAI FSS-18: Artificial Intelligence in Government and Public Sector, 2018 | 281 | 2018 |
| Interpretable to whom? A role-based model for analyzing interpretable machine learning systems R Tomsett, D Braines, D Harborne, A Preece, S Chakraborty ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), 2018 | 268* | 2018 |
| Sanity checks for saliency metrics R Tomsett, D Harborne, S Chakraborty, P Gurram, AD Preece Thirty Fourth AAAI conference on Artificial Intelligence (AAAI-20), 2020 | 195 | 2020 |
| Rapid trust calibration through interpretable and uncertainty-aware AI R Tomsett, A Preece, D Braines, F Cerutti, S Chakraborty, M Srivastava, ... Patterns 1 (4), 2020 | 154 | 2020 |
| Deciding fast and slow: The role of cognitive biases in ai-assisted decision-making C Rastogi, Y Zhang, D Wei, KR Varshney, A Dhurandhar, R Tomsett Proceedings of the ACM on Human-computer Interaction 6 (CSCW1), 1-22, 2022 | 151 | 2022 |
| A systematic method to understand requirements for explainable AI (XAI) systems M Hall, D Harborne, R Tomsett, V Galetic, S Quintana-Amate, A Nottle, ... proceedings of the IJCAI workshop on eXplainable artificial intelligence …, 2019 | 73 | 2019 |
| Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue RJ Tomsett, M Ainsworth, A Thiele, M Sanayei, X Chen, MA Gieselmann, ... Brain Structure and Function 220, 2333-2353, 2015 | 50 | 2015 |
| Why the failure? How adversarial examples can provide insights for interpretable machine learning R Tomsett, A Widdicombe, T Xing, S Chakraborty, S Julier, P Gurram, ... 2018 21st International Conference on Information Fusion (FUSION), 838-845, 2018 | 48 | 2018 |
| Model poisoning attacks against distributed machine learning systems R Tomsett, K Chan, S Chakraborty Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 35 | 2019 |
| 100 Questions: identifying research priorities for poverty prevention and reduction WJ Sutherland, C Goulden, K Bell, F Bennett, S Burall, M Bush, S Callan, ... Journal of Poverty and Social Justice 21 (3), 189-205, 2013 | 29 | 2013 |
| Cognitive Analysis in Sports: Supporting Match Analysis and Scouting through Artificial Intelligence J Pavitt, D Braines, R Tomsett Applied AI Letters, e21, 2021 | 21 | 2021 |
| 2017 IEEE smartworld, ubiquitous intelligence & computing, advanced & trusted computed, scalable computing & communications, cloud & big data computing, Internet of people and … S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ... IEEE,, 2017 | 21 | 2017 |
| A deep convolutional network for traffic congestion classification C Willis, D Harborne, R Tomsett, M Alzantot Proceedings of the NATO IST-158/RSM-010 Specialists’ Meeting on Content …, 2017 | 19 | 2017 |
| 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 | 16 | 2020 |
| Integrating learning and reasoning services for explainable information fusion D Harborne, C Willis, R Tomsett, AD Preece | 16 | 2018 |
| Distributed opportunistic sensing and fusion for traffic congestion detection A Nottle, D Harborne, D Braines, M Alzantot, S Quintana-Amate, ... 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 12 | 2017 |
| Demonstration of dynamic distributed orchestration of node-RED IoT workflows using a vector symbolic architecture R Tomsett, G Bent, C Simpkin, I Taylor, D Harbourne, A Preece, R Ganti 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 464-467, 2019 | 10 | 2019 |
| Neural networks at the edge D Roy, G Srinivasan, P Panda, R Tomsett, N Desai, R Ganti, K Roy 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 45-50, 2019 | 8 | 2019 |
| Supporting User Fusion of AI Services through Conversational Explanations D Braines, R Tomsett, A Preece FUSION, 2019 | 8 | 2019 |
Alun PreeceCardiff University - Security Crime and Intelligence Innovation Instituteยืนยันอีเมลแล้วที่ cardiff.ac.uk