5 citations · 16 across the 15 of their papers we have counts for
4 papers · 1 filter
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
Calvin Yeung, Kenjiro Ide, Taiga Someya +1
Sports analytics has become both more professional and sophisticated, driven by the growing availability of detailed performance data. This progress enables applications such as ma…
Machine Learning for Soccer Match Result Prediction
Rory Bunker, Calvin Yeung, Keisuke Fujii
Machine learning has become a common approach to predicting the outcomes of soccer matches, and the body of literature in this domain has grown substantially in the past decade and…
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees
Calvin Yeung, Rory Bunker, Rikuhei Umemoto +1
Machine learning models have become increasingly popular for predicting the results of soccer matches, however, the lack of publicly-available benchmark datasets has made model eva…
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory
Calvin C. K. Yeung, Keisuke Fujii
Complex interactions between two opposing agents frequently occur in domains of machine learning, game theory, and other application domains. Quantitatively analyzing the strategie…