Jan Van Haaren

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Venues

CoRR

KDD

MLSA@PKDD/ECML

Mach. Learn.

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Jesse Davis, Lotte Bransen, Laurens Devos, Arne Jaspers, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned. Mach. Learn. 113 (9) (2024)
Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. EBeM@IJCAI (2022)
Jan Van Haaren
"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer. CoRR (2021)
Pieter Robberechts, Jan Van Haaren, Jesse Davis
A Bayesian Approach to In-Game Win Probability in Soccer. KDD (2021)
Lotte Bransen, Jan Van Haaren
Player Chemistry: Striving for a Perfectly Balanced Soccer Team. CoRR (2020)
Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). IJCAI (2020)
Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis
Actions Speak Louder than Goals: Valuing Player Actions in Soccer. KDD (2019)
Pieter Robberechts, Jan Van Haaren, Jesse Davis
Who Will Win It? An In-game Win Probability Model for Football. CoRR (2019)
Tom Decroos, Jan Van Haaren, Jesse Davis
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. KDD (2018)
Lotte Bransen, Jan Van Haaren
Measuring Football Players' On-the-ball Contributions From Passes During Games. CoRR (2018)
Bart Aalbers, Jan Van Haaren
Distinguishing Between Roles of Football Players in Play-by-Play Match Event Data. MLSA@PKDD/ECML (2018)
Lotte Bransen, Jan Van Haaren
Measuring Football Players' On-the-Ball Contributions from Passes During Games. MLSA@PKDD/ECML (2018)
Bart Aalbers, Jan Van Haaren
Distinguishing Between Roles of Football Players in Play-by-play Match Event Data. CoRR (2018)
Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. AAAI (2017)
Tom Decroos, Jan Van Haaren, Vladimir Dzyuba, Jesse Davis
STARSS: A Spatio-Temporal Action Rating System for Soccer. MLSA@PKDD/ECML (2017)
Ruben Vroonen, Tom Decroos, Jan Van Haaren, Jesse Davis
Predicting the Potential of Professional Soccer Players. MLSA@PKDD/ECML (2017)
Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis
Lifted generative learning of Markov logic networks. Mach. Learn. 103 (1) (2016)
Jan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua
Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. KDD (2016)
Jan Van Haaren, Andrey Kolobov, Jesse Davis
TODTLER: Two-Order-Deep Transfer Learning. AAAI (2015)
Jan Van Haaren, Vladimir Dzyuba, Siebe Hannosset, Jesse Davis
Automatically Discovering Offensive Patterns in Soccer Match Data. IDA (2015)
Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal
Mining Hierarchical Pathology Data Using Inductive Logic Programming. AIME (2015)
Alexander van Den Berghe, Jan Van Haaren, Stefan Van Baelen, Yolande Berbers, Wouter Joosen
Towards an Automated Pattern Selection Procedure in Software Models. ILP (Late Breaking Papers) (2012)
Jan Van Haaren, Jesse Davis
Markov Network Structure Learning: A Randomized Feature Generation Approach. AAAI (2012)
Jan Van Haaren, Guy Van den Broeck
Relational Learning for Football-Related Predictions. ILP (Late Breaking Papers) (2011)

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Publication Activity (10 Years)

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Jan Van Haaren