| Machine learning-based identification of the strongest predictive variables of winning and losing in Belgian professional soccer Y Geurkink, J Boone, S Verstockt, JG Bourgois Applied Sciences 11 (5), 2378, 2021 | 35 | 2021 |
| Modeling the prediction of the session rating of perceived exertion in soccer: Unraveling the puzzle of predictive indicators Y Geurkink, G Vandewiele, M Lievens, F De Turck, F Ongenae, ... International journal of sports physiology and performance 14 (6), 841-846, 2019 | 24 | 2019 |
| Enabling training personalization by predicting the session rate of perceived exertion (sRPE) G Vandewiele, Y Geurkink, M Lievens, F Ongenae, F De Turck, J Boone Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2017 …, 2017 | 11 | 2017 |
| Bridging the gap between soccer and science: using technology and data to optimize training and performance Y Geurkink Ghent University, 2021 | 1 | 2021 |
| Study I Y Geurkink, J Boone, S Verstockt, JG Bourgois, Y Geurkink, J Boone, ... Bridging the gap between soccer and science: using technology and data to …, 2021 | | 2021 |
| Study III Y Geurkink, G Vandewiele, M Lievens, F De Turck, F Ongenae, ... Bridging the gap between soccer and science: using technology and data to …, 2021 | | 2021 |
Gilles VandewieleIDLab, Universiteit GentGeverifieerd e-mailadres voor ugent.be
