Tom Decroos

According to our database, Tom Decroos authored at least 11 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

SoccerMix: Representing Soccer Actions with Mixture Models.

Tom Decroos, Maaike Van Roy, Jesse Davis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract).

Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Analyzing Soccer Players' Skill Ratings Over Time Using Tensor-Based Methods.

Kenneth Verstraete, Tom Decroos, Bruno Coussement, Nick Vannieuwenhoven, Jesse Davis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Player Vectors: Characterizing Soccer Players' Playing Style from Match Event Streams.

Tom Decroos, Jesse Davis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Actions Speak Louder than Goals: Valuing Player Actions in Soccer.

Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

AMIE: Automatic Monitoring of Indoor Exercises.

Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data.

Tom Decroos, Jan Van Haaren, Jesse Davis

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Predicting the Potential of Professional Soccer Players.

Ruben Vroonen, Tom Decroos, Jan Van Haaren, Jesse Davis

Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

STARSS: A Spatio-Temporal Action Rating System for Soccer.

Tom Decroos, Jan Van Haaren, Vladimir Dzyuba, Jesse Davis

Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Predicting Soccer Highlights from Spatio-Temporal Match Event Streams.

Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Solving Euclidean Steiner Tree Problems with Multi Swarm Optimization.

Tom Decroos, Patrick De Causmaecker, Bart Demoen

Proceedings of the Genetic and Evolutionary Computation Conference, 2015