18 citations · 39 across the 12 of their papers we have counts for
Showing 2022 · cs.LGShow all
3 papers · 2 filters
cs.LG2022★ 8 cited
ESTA: An Esports Trajectory and Action Dataset
Peter Xenopoulos, Claudio Silva
Sports, due to their global reach and impact-rich prediction tasks, are an exciting domain to deploy machine learning models. However, data from conventional sports is often unsuit…
cs.LG2022★ 18 cited
Graph Neural Networks to Predict Sports Outcomes
Peter Xenopoulos, Claudio Silva
Predicting outcomes in sports is important for teams, leagues, bettors, media, and fans. Given the growing amount of player tracking data, sports analytics models are increasingly…
cs.LG2022★ 2 cited
Topological Representations of Local Explanations
Peter Xenopoulos, Gromit Chan, Harish Doraiswamy +3
Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rational…