| Actions speak louder than goals: Valuing player actions in soccer T Decroos, L Bransen, J Van Haaren, J Davis Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 64 | 2019 |
| Predicting soccer highlights from spatio-temporal match event streams T Decroos, V Dzyuba, J Van Haaren, J Davis Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 43 | 2017 |
| Automatic discovery of tactics in spatio-temporal soccer match data T Decroos, J Van Haaren, J Davis Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 33 | 2018 |
| STARSS: a spatio-temporal action rating system for soccer T Decroos, J Van Haaren, V Dzyuba, J Davis Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2017 …, 2017 | 18 | 2017 |
| Predicting the potential of professional soccer players R Vroonen, T Decroos, J Van Haaren, J Davis Proceedings of the 4th Workshop on Machine Learning and Data Mining for …, 2017 | 10 | 2017 |
| Player vectors: Characterizing soccer players’ playing style from match event streams T Decroos, J Davis Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 7 | 2019 |
| Amie: Automatic monitoring of indoor exercises T Decroos, K Schütte, TO De Beéck, B Vanwanseele, J Davis Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 6 | 2018 |
| Valuing on-the-ball actions in soccer: a critical comparison of XT and VAEP T Decroos, J Davis Proceedings of the AAAI-20 Workshop on Artifical Intelligence in Team Sports, 2020 | 5 | 2020 |
| Solving Euclidean Steiner tree problems with multi swarm optimization T Decroos, P De Causmaecker, B Demoen Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 3 | 2015 |
| VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer T Decroos, L Bransen, J Van Haaren, J Davis Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 2 | 2020 |
| Interpretable prediction of goals in soccer T Decroos, J Davis Proceedings of the AAAI-20 Workshop on Artificial Intelligence in Team Sports, 2019 | 2 | 2019 |
| Characterizing Soccer Players' Playing Style from Match Event Streams A Geerts, T Decroos Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2018 …, 2019 | 2 | 2019 |
| SoccerMix: Representing Soccer Actions with Mixture Models T Decroos, M Van Roy, J Davis Proceedings of the 2020 European Conference on Machine Learning and …, 2020 | 1 | 2020 |
| Soccer Analytics Meets Artificial Intelligence: Learning Value and Style from Soccer Event Stream Data T Decroos PhD thesis, Declarative Languages and Artificial Intelligence (DTAI), Leuven …, 2020 | | 2020 |
| How does context affect player performance in football? L Bransen, P Robberechts, J Davis, T Decroos, J Van Haaren Barça Innovation Hub, 2020 | | 2020 |
| Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods K Verstraete, T Decroos, B Coussement, N Vannieuwenhoven, J Davis Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | | 2019 |
| Assessing the Performances of Soccer Players J Davis, L Bransen, T Decroos, P Robberechts, J Van Haaren International Symposium on Computer Science in Sport, 3-10, 2019 | | 2019 |
| Analysing Performance and Playing Style using Ball Event Data J Van Haaren, P Robberechts, T Decroos, L Branssen, J Davis Barça Innovation Hub, 2019 | | 2019 |
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
