| 2022 | IJCAI | Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. | Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy |
| 2021 | KDD | A Bayesian Approach to In-Game Win Probability in Soccer. | Pieter Robberechts, Jan Van Haaren, Jesse Davis |
| 2020 | IJCAI | VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). | Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis |
| 2019 | KDD | Actions Speak Louder than Goals: Valuing Player Actions in Soccer. | Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis |
| 2018 | KDD | Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. | Tom Decroos, Jan Van Haaren, Jesse Davis |
| 2017 | AAAI | Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. | Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis |
| 2016 | KDD | Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. | Jan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua |
| 2015 | AAAI | TODTLER: Two-Order-Deep Transfer Learning. | Jan Van Haaren, Andrey Kolobov, Jesse Davis |
| 2015 | AIME | Mining Hierarchical Pathology Data Using Inductive Logic Programming. | Tim Op De Beck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal |
| 2015 | IDA | Automatically Discovering Offensive Patterns in Soccer Match Data. | Jan Van Haaren, Vladimir Dzyuba, Siebe Hannosset, Jesse Davis |
| 2012 | AAAI | Markov Network Structure Learning: A Randomized Feature Generation Approach. | Jan Van Haaren, Jesse Davis |
| 2012 | ILP | Towards an Automated Pattern Selection Procedure in Software Models. | Alexander van Den Berghe, Jan Van Haaren, Stefan Van Baelen, Yolande Berbers, Wouter Joosen |
| 2011 | ILP | Relational Learning for Football-Related Predictions. | Jan Van Haaren, Guy Van den Broeck |