Ryan Beal
PhD Student in the AIC Group. Focusing on research on how machine learning techniques can be used within team sports.
Research
Research interests
Machine Learning, Deep Learning, AI, Sports Analytics
Publications
Beal, Ryan, James, Changder, Narayan, Norman, Timothy and Ramchurn, Sarvapali (2019) Learning the value of teamwork to form efficient teams. The Thirty-Fourth AAAI Conference on Artificial Intelligence, Hilton Midtown New York, New York, United States. 07 - 12 Feb 2020. (In Press)
Beal, Ryan, Norman, Timothy J. and Ramchurn, Sarvapali D. (2019) Artificial intelligence for team sports: a survey. Knowledge Engineering Review, 34, [e28]. (doi:10.1017/S0269888919000225).
Beal, Ryan, Norman, Timothy, Chalkiadakis, Georgios and Ramchurn, Sarvapali (2020) Optimising game tactics for football. In Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems. ACM. 9 pp . (In Press)
Beal, Ryan James, Middleton, Stuart, Norman, Timothy and Ramchurn, Sarvapali (2021) Combining machine learning and human experts to predict match outcomes in football: A baseline model. The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence, , Virtual. 02 - 09 Feb 2021. 5 pp .
Beal, Ryan James, Norman, Timothy and Ramchurn, Sarvapali (2020) Optimising daily fantasy sports teams with artificial intelligence. International Journal of Computer Science in Sport, 19 (2). (doi:10.2478/ijcss-2020-0008).
Beal, Ryan James, Norman, Timothy and Ramchurn, Sarvapali (2020) A critical comparison of machine learning classifiers to predict match outcomes in the NFL. International Journal of Computer Science in Sport, 19 (2). (doi:10.2478/ijcss-2020-0009 |).
Beal, Ryan, James, Chalkiadakis, Georgios, Norman, Timothy and Ramchurn, Sarvapali (2021) Optimising long-term outcomes using real-world fluent objectives: an application to football. 20th International Conference on Autonomous Agents and Multiagent Systems, London (Virtual), Virtual, United Kingdom. 03 - 07 May 2021. p. 196 .
Merhej, Charbel, Beal, Ryan, James, Matthews, Tim and Ramchurn, Sarvapali (2021) What happened next? Using deep learning to value defensive actions in football event-data. KDD 2021, Virtual. 14 - 18 Aug 2021. 10 pp .
Contact
Telephone: +44 (0) 23 8059 7936305771
Email: ryan.beal@soton.ac.uk