18 citations · 48 across the 6 of their papers we have counts for
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cs.LG2019★ 18 cited
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach
Pieter Robberechts, Rud Derie, Pieter Van den Berghe +4
Gait event detection of the initial contact and toe off is essential for running gait analysis, allowing the derivation of parameters such as stance time. Heuristic-based methods e…
cs.LG2019★ 18 cited
A Bayesian Approach to In-Game Win Probability in Soccer
Pieter Robberechts, Jan Van Haaren, Jesse Davis
In-game win probability models, which provide a sports team's likelihood of winning at each point in a game based on historical observations, are becoming increasingly popular. In…