2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.HC2024★ 2 cited
SoccerGuard: Investigating Injury Risk Factors for Professional Soccer Players with Machine Learning
Finn Bartels, Lu Xing, Cise Midoglu +3
We present SoccerGuard, a novel framework for predicting injuries in women's soccer using Machine Learning (ML). This framework can ingest data from multiple sources, including sub…
cs.LG2024
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
Matthias Boeker, Vajira Thambawita, Michael Riegler +2
Understanding sleep and activity patterns plays a crucial role in physical and mental health. This study introduces a novel approach for sleep detection using weakly supervised lea…