51 citations · 96 across the 9 of their papers we have counts for
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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…
cs.LG2020★ 5 cited
Towards Ground Truth Explainability on Tabular Data
Brian Barr, Ke Xu, Claudio Silva +4
In data science, there is a long history of using synthetic data for method development, feature selection and feature engineering. Our current interest in synthetic data comes fro…