The University of Southampton
Telephone:
07936305771
Email:
ryan.beal@soton.ac.uk

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). (In Press)

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 |).

Contact

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