Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains T Matthews, SD Ramchurn, G Chalkiadakis Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 60 | 2012 |
Enriching texture analysis with semantic data T Matthews, MS Nixon, M Niranjan Twenty-Sixth IEEE Conference on Computer Vision and Pattern Recognition …, 2013 | 40 | 2013 |
What happened next? Using deep learning to value defensive actions in football event-data C Merhej, RJ Beal, T Matthews, S Ramchurn Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 24 | 2021 |
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations G Everett, RJ Beal, T Matthews, J Early, TJ Norman, SD Ramchurn arXiv preprint arXiv:2302.06569, 2023 | 2 | 2023 |
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage M Wear, R Beal, T Matthews, T Norman, S Ramchurn arXiv preprint arXiv:2202.12259, 2022 | 2 | 2022 |
Contextual Expected Threat using Spatial Event Data G Everett, R Beal, T Matthews, T Norman, G Ramchurn | 1 | 2022 |
Predicting energy consumption of zero emission buses using route feature selection methods LAW Blades, T Matthews, TE McGrath, J Early, G Cunningham, A Harris Transportation Research Part D: Transport and Environment 130, 104158, 2024 | | 2024 |
The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer G Everett, R Beal, T Matthews, TJ Norman, SD Ramchurn arXiv preprint arXiv:2402.04898, 2024 | | 2024 |
Semantics of texture T Matthews University of Southampton, 2016 | | 2016 |