| Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning? A Jaspers, T Op De Beéck, MS Brink, WGP Frencken, F Staes, JJ Davis, ... International journal of sports physiology and performance, 1-18, 2017 | 82 | 2017 |
| Fatigue prediction in outdoor runners via machine learning and sensor fusion T Op De Beéck, W Meert, K Schütte, B Vanwanseele, J Davis Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 69 | 2018 |
| Surface effects on dynamic stability and loading during outdoor running using wireless trunk accelerometry KH Schütte, J Aeles, T Op De Beéck, BC van der Zwaard, R Venter, ... Gait & posture 48, 220-225, 2016 | 63 | 2016 |
| Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness A Jaspers, T Op De Beéck, MS Brink, WGP Frencken, F Staes, JJ Davis, ... International journal of sports physiology and performance, 1-25, 2019 | 41* | 2019 |
| Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running A De Brabandere, T Op De Beéck, KH Schütte, W Meert, B Vanwanseele, ... PloS one 13 (6), e0199509, 2018 | 31 | 2018 |
| AMIE: automatic monitoring of indoor exercises T Decroos, K Schütte, TO De Beéck, B Vanwanseele, J Davis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 17 | 2019 |
| Accelerometer based data can provide a better estimate of cumulative load during running compared to GPS based parameters B Vanwanseele, T Op De Beéck, K Schütte, J Davis Frontiers in Sports and Active Living 2, 575596, 2020 | 13 | 2020 |
| Automating feature construction for multi-view time series data A De Brabandere, P Robberechts, T Op De Beéck, J Davis ECMLPKDD Workshop on Automating Data Science, 1-16, 2019 | 11 | 2019 |
| TSFuse: Automated feature construction for multiple time series data A De Brabandere, T Op De Beéck, K Hendrickx, W Meert, J Davis Machine Learning, 1-56, 2022 | 10 | 2022 |
| Mining hierarchical pathology data using inductive logic programming T Op De Beéck, A Hommersom, J Van Haaren, M van der Heijden, ... Conference on Artificial Intelligence in Medicine in Europe, 76-85, 2015 | 8 | 2015 |
| Machine learning and data mining for sports analytics J Van Haaren, A Zimmermann, J Renkens, G Van den Broeck, ... LStat 25th Anniversary Scientific Event, Date: 2013/12/13-2013/12/14 …, 2013 | 6 | 2013 |
| Data Science Approaches for the Analysis and Interpretation of Training Load Data of Athletes T Op De BeĂŠck | 1 | 2019 |
| Prestatie-analyse van de clubs in de Belgische Pro League 2013-2014: de play-offs doorgelicht J Van Haaren, T Op De Beéck, J Davis CW Reports, 2014 | 1 | 2014 |
| Monitoring the Crus for Physical Therapy T Van Craenendonck, T Op De Beéck, W Meert, B Vanwanseele, J Davis 1st International Workshop on Machine Learning for Urban Sensor Data, 1-16, 2014 | 1 | 2014 |
| Predicting future perceived wellness in profession... T Op De Beéck ijspp 2017, 0864, 2019 | | 2019 |
| Study III: Surface-related dynamic instability and loading KH Schütte, J Aeles, T Op De Beéck, BC van der Zwaard, R Venter Towards Real-world Biomechanical Detection of Fatigue, Energy, and Injury in …, 2018 | | 2018 |
| Welke rol speelt sports analytics in het voetbal van morgen? J Van Haaren, T Op De Beéck | | 2014 |
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
