1 citations · 1 across the 2 of their papers we have counts for
3 papers
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman +1
In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment acro…
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
Ryan Beal, Stuart E. Middleton, Timothy J. Norman +1
In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of m…
Optimising Game Tactics for Football
Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman +1
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer). We model the game of football as a multi-stage game which is made…