- ORCID iD
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0000-0001-8229-1822
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Bridging the gap between soccer and science : using technology and data to optimize training and performance
(2021) -
- Journal Article
- A1
- open access
Machine learning-based identification of the strongest predictive variables of winning and losing in Belgian professional soccer
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Modeling the prediction of the session rating of perceived exertion in soccer : unraveling the puzzle of predictive indicators
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- Conference Paper
- C1
- open access
Enabling training personalization by predicting the session rate of perceived exertion (sRPE)
(2017) p.1-12