Relational Learning for Football-Related Predictions. - Jan Van Haaren; Guy Van den Broeck (ILP (Late Breaking Papers), 2011)

Markov Network Structure Learning: A Randomized Feature Generation Approach. - Jan Van Haaren; Jesse Davis (AAAI, 2012)

Towards an Automated Pattern Selection Procedure in Software Models. - Alexander van Den Berghe; Jan Van Haaren; Stefan Van Baelen; Yolande Berbers; Wouter Joosen (ILP (Late Breaking Papers), 2012)

TODTLER: Two-Order-Deep Transfer Learning. - Jan Van Haaren; Andrey Kolobov; Jesse Davis (AAAI, 2015)

Mining Hierarchical Pathology Data Using Inductive Logic Programming. - Tim Op De Beéck; Arjen Hommersom; Jan Van Haaren; Maarten van der Heijden; Jesse Davis; Peter J. F. Lucas; Lucy Overbeek; Iris Nagtegaal (AIME, 2015)

Automatically Discovering Offensive Patterns in Soccer Match Data. - Jan Van Haaren; Vladimir Dzyuba; Siebe Hannosset; Jesse Davis (IDA, 2015)

Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. - Jan Van Haaren; Horesh Ben Shitrit; Jesse Davis; Pascal Fua (KDD, 2016)

Lifted generative learning of Markov logic networks. - Jan Van Haaren; Guy Van den Broeck; Wannes Meert; Jesse Davis (Mach. Learn., 2016)

Relational approaches for learning, transferring and mining ; Relationele benaderingen voor leren, overdragen en mijnen. - Jan Van Haaren (2016)

Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. - Tom Decroos; Vladimir Dzyuba; Jan Van Haaren; Jesse Davis (AAAI, 2017)

STARSS: A Spatio-Temporal Action Rating System for Soccer. - Tom Decroos; Jan Van Haaren; Vladimir Dzyuba; Jesse Davis (MLSA@PKDD/ECML, 2017)

Predicting the Potential of Professional Soccer Players. - Ruben Vroonen; Tom Decroos; Jan Van Haaren; Jesse Davis (MLSA@PKDD/ECML, 2017)

Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. - Tom Decroos; Jan Van Haaren; Jesse Davis (KDD, 2018)

Distinguishing Between Roles of Football Players in Play-by-Play Match Event Data. - Bart Aalbers; Jan Van Haaren (MLSA@PKDD/ECML, 2018)

Measuring Football Players' On-the-Ball Contributions from Passes During Games. - Lotte Bransen; Jan Van Haaren (MLSA@PKDD/ECML, 2018)

Actions Speak Louder than Goals: Valuing Player Actions in Soccer. - Tom Decroos; Lotte Bransen; Jan Van Haaren; Jesse Davis (KDD, 2019)

Who Will Win It? An In-game Win Probability Model for Football. - Pieter Robberechts; Jan Van Haaren; Jesse Davis (CoRR, 2019)

VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). - Tom Decroos; Lotte Bransen; Jan Van Haaren; Jesse Davis (IJCAI, 2020)

Player Chemistry: Striving for a Perfectly Balanced Soccer Team. - Lotte Bransen; Jan Van Haaren (CoRR, 2020)

A Bayesian Approach to In-Game Win Probability in Soccer. - Pieter Robberechts; Jan Van Haaren; Jesse Davis (KDD, 2021)

"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer. - Jan Van Haaren (CoRR, 2021)

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 (EBeM@IJCAI, 2022)

Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned. - Jesse Davis; Lotte Bransen; Laurens Devos; Arne Jaspers; Wannes Meert; Pieter Robberechts; Jan Van Haaren; Maaike Van Roy (Mach. Learn., 2024)

Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer). - Gabriel Anzer; Kilian Arnsmeyer; Pascal Bauer; Joris Bekkers; Ulf Brefeld; Jesse Davis; Nicolas Evans; Matthias Kempe; Samuel J. Robertson; Joshua Wyatt Smith; Jan Van Haaren (CoRR, 2025)

What Makes a Dribble Successful? Insights From 3D Pose Tracking Data. - Michiel Schepers; Pieter Robberechts; Jan Van Haaren; Jesse Davis (CoRR, 2025)