| Artificial intelligence for team sports: a survey R Beal, TJ Norman, SD Ramchurn The Knowledge Engineering Review 34, e28, 2019 | 119 | 2019 |
| What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data C Merhej, R Beal, S Ramchurn, T Matthews Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 30 | 2021 |
| Seq2event: learning the language of soccer using transformer-based match event prediction I Simpson, RJ Beal, D Locke, TJ Norman Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 23 | 2022 |
| Combining machine learning and human experts to predict match outcomes in football: A baseline model RJ Beal, S Middleton, T Norman, S Ramchurn Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15447 …, 2021 | 23 | 2021 |
| Optimising Game Tactics for Football R Beal, G Chalkiadakis, TJ Norman, SD Ramchurn Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 22 | 2020 |
| Learning The Value of Teamwork to Form Efficient Teams R Beal, N Changder, T Norman, S Ramchurn Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence …, 2020 | 19 | 2020 |
| A critical comparison of machine learning classifiers to predict match outcomes in the nfl R Beal, TJ Norman, SD Ramchurn International Journal of Computer Science in Sport 19 (2), 36-50, 2020 | 10 | 2020 |
| Optimising daily fantasy sports teams with artificial intelligence R Beal, TJ Norman, SD Ramchurn International Journal of Computer Science in Sport 19 (2), 21-35, 2020 | 10 | 2020 |
| Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football R Beal, G Chalkiadakis, TJ Norman, SD Ramchurn Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 6 | 2021 |
| Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage M Wear, R Beal, T Matthews, T Norman, S Ramchurn MIT Sloan Sports Analytics Conference 2022, 2022 | 4 | 2022 |
| 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 | 3 | 2023 |
| Contextual Expected Threat using Spatial Event Data G Everett, R Beal, T Matthews, T Norman, G Ramchurn | 1 | 2022 |
| 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 |
| Artificial Intelligence in Team Sports RJ Beal University of Southampton, 2022 | | 2022 |
Sarvapali D. (Gopal) RamchurnProfessor of Artificial Intelligence, University of Southampton在 ecs.soton.ac.uk 的电子邮件经过验证
