| Beyond the selected completely at random assumption for learning from positive and unlabeled data J Bekker, P Robberechts, J Davis Joint European conference on machine learning and knowledge discovery in …, 2019 | 147 | 2019 |
| Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned J Davis, L Bransen, L Devos, A Jaspers, W Meert, P Robberechts, ... Machine Learning 113 (9), 6977-7010, 2024 | 66 | 2024 |
| How data availability affects the ability to learn good xG models P Robberechts, J Davis International Workshop on Machine Learning and Data Mining for Sports …, 2020 | 64 | 2020 |
| 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 | 62 | 2020 |
| Choke or shine? Quantifying soccer players' abilities to perform under mental pressure L Bransen, P Robberechts, J Van Haaren, J Davis Proceedings of the 13th MIT Sloan Sports Analytics Conference, 1-25, 2019 | 49 | 2019 |
| Tibial acceleration-based prediction of maximal vertical loading rate during overground running: a machine learning approach R Derie, P Robberechts, P Van den Berghe, J Gerlo, D De Clercq, ... Frontiers in bioengineering and biotechnology 8, 33, 2020 | 44 | 2020 |
| A bayesian approach to in-game win probability in soccer P Robberechts, J Van Haaren, J Davis Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 42 | 2021 |
| un-xPass: Measuring Soccer Player's Creativity P Robberechts, M Van Roy, J Davis Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 41 | 2023 |
| Leaving goals on the pitch: Evaluating decision making in soccer M Van Roy, P Robberechts, WC Yang, L De Raedt, J Davis arXiv preprint arXiv:2104.03252, 2021 | 35 | 2021 |
| Valuing the art of pressing P Robberechts Proceedings of the StatsBomb innovation in football conference, 1-11, 2019 | 35 | 2019 |
| Who will win it? An in-game win probability model for football P Robberechts, J Van Haaren, J Davis Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2019 …, 2019 | 30 | 2019 |
| Measuring the effectiveness of pressing in soccer S Merckx, P Robberechts, Y Euvrard, J Davis Proceedings of the 8th Workshop on Machine Learning and Data Mining for …, 2021 | 24 | 2021 |
| Forecasting the FIFA World Cup–Combining result-and goal-based team ability parameters P Robberechts, J Davis International Workshop on Machine Learning and Data Mining for Sports …, 2018 | 24 | 2018 |
| A Markov framework for learning and reasoning about strategies in professional soccer M Van Roy, P Robberechts, WC Yang, L De Raedt, J Davis Journal of Artificial Intelligence Research 77, 517-562, 2023 | 20 | 2023 |
| Evaluating sports analytics models: Challenges, approaches, and lessons learned J Davis, L Bransen, L Devos, W Meert, P Robberechts, J Van Haaren, ... AI Evaluation Beyond Metrics Workshop at IJCAI 2022 3169, 1-11, 2022 | 20 | 2022 |
| Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach P Robberechts, R Derie, P Van den Berghe, J Gerlo, D De Clercq, ... Gait & Posture 84, 87-92, 2021 | 20 | 2021 |
| wannesm/dtaidistance: v2. 3.5 K Wannesm, A Yurtman, P Robberechts, D Vohl, E Ma, G Verbruggen, ... Zenodo: Genève, Switzerland, 2022 | 18* | 2022 |
| Learning a markov model for evaluating soccer decision making M Van Roy, P Robberechts, WC Yang, L De Raedt, J Davis Reinforcement Learning for Real Life (RL4RealLife) Workshop at ICML 2021, 2021 | 16 | 2021 |
| Query log analysis: Detecting anomalies in DNS traffic at a TLD resolver P Robberechts, M Bosteels, J Davis, W Meert Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 15 | 2018 |
| 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 | 13 | 2019 |
