18 citations · 48 across the 6 of their papers we have counts for
5 papers · 1 filter
Warping and Matching Subsequences Between Time Series
Simiao Lin, Wannes Meert, Pieter Robberechts +1
Comparing time series is essential in various tasks such as clustering and classification. While elastic distance measures that allow warping provide a robust quantitative comparis…
Biases in Expected Goals Models Confound Finishing Ability
Jesse Davis, Pieter Robberechts
Expected Goals (xG) has emerged as a popular tool for evaluating finishing skill in soccer analytics. It involves comparing a player's cumulative xG with their actual goal output,…
Elastic Product Quantization for Time Series
Pieter Robberechts, Wannes Meert, Jesse Davis
Analyzing numerous or long time series is difficult in practice due to the high storage costs and computational requirements. Therefore, techniques have been proposed to generate c…
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…
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…