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Researcher
Tom Decroos
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → 11 Oct 2020 - Informatics Section (Division)
Member
From1 Sep 2016 → 4 Aug 2020
Projects
1 - 1 of 1
- Learning from Complex Temporal DataFrom1 Sep 2016 → 12 Oct 2020Funding: FWO fellowships
Publications
1 - 10 of 15
- SoccerMix: Representing Soccer Actions with Mixture Models(2021)
Authors: Tom Decroos, Maaike Van Roy, Jesse Davis
Pages: 459 - 474Number of pages: 16 - Soccer Analytics Meets Artificial Intelligence: Learning Value and Style from Soccer Event Stream Data(2020)
Authors: Tom Decroos, Jesse Davis
- Analyzing Soccer Players' Skill Ratings Over Time Using Tensor-Based Methods(2020)
Authors: Kenneth Verstraete, Tom Decroos, Nick Vannieuwenhoven, Jesse Davis
Pages: 225 - 234 - Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP(2020)
Authors: Maaike Van Roy, Pieter Robberechts, Tom Decroos, Jesse Davis
Pages: 1 - 8 - VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)(2020)
Authors: Tom Decroos, Jan Van Haaren, Jesse Davis
Pages: 4696 - 4700 - Player Vectors: Characterizing Soccer Players’ Playing Style from Match Event Streams(2020)
Authors: Tom Decroos, Jesse Davis
Number of pages: 16 - Analysing Performance and Playing Style using Ball Event Data(2019)
Authors: Jan Van Haaren, Pieter Robberechts, Tom Decroos, Jesse Davis
Pages: 36 - 47Number of pages: 12 - Characterizing Soccer Players' Playing Style from Match Event Streams(2019)
Authors: Tom Decroos, Jesse Davis
Pages: 115 - 126 - Actions Speak Louder than Goals: Valuing Player Actions in Soccer(2019)
Authors: Tom Decroos, Jan Van Haaren, Jesse Davis
Pages: 1851 - 1861 - AMIE: Automatic Monitoring of Indoor Exercises(2018)
Authors: Tom Decroos, Kurt Schütte, Tim Op De Beéck, Benedicte Vanwanseele, Jesse Davis
Pages: 424 - 439Number of pages: 16