Pieter Robberechts

According to our database, Pieter Robberechts authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

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., September, 2024

Biases in Expected Goals Models Confound Finishing Ability.

Jesse Davis, Pieter Robberechts

CoRR, 2024

2023

A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer.

Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis

J. Artif. Intell. Res., 2023

un-xPass: Measuring Soccer Player's Creativity.

Pieter Robberechts, Maaike Van Roy, Jesse Davis

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

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

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Elastic Product Quantization for Time Series.

Pieter Robberechts, Wannes Meert, Jesse Davis

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Leaving Goals on the Pitch: Evaluating Decision Making in Soccer.

Maaike Van Roy, Pieter Robberechts, Wen-Chi Yang, Luc De Raedt, Jesse Davis

CoRR, 2021

A Bayesian Approach to In-Game Win Probability in Soccer.

Pieter Robberechts, Jan Van Haaren, Jesse Davis

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

DTAIDistance.

Wannes Meert, Kilian Hendrickx, Toon van Craenendonck, Pieter Robberechts, Hendrik Blockeel, Jesse Davis

Dataset, August, 2020

How Data Availability Affects the Ability to Learn Good xG Models.

Pieter Robberechts, Jesse Davis

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

2019

Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach.

Pieter Robberechts, Rud Derie, Pieter Van den Berghe, Joeri Gerlo, Dirk De Clercq, Veerle Segers, Jesse Davis

CoRR, 2019

Who Will Win It? An In-game Win Probability Model for Football.

Pieter Robberechts, Jan Van Haaren, Jesse Davis

CoRR, 2019

Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data.

Jessa Bekker, Pieter Robberechts, Jesse Davis

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

2018

Forecasting the FIFA World Cup - Combining Result- and Goal-Based Team Ability Parameters.

Pieter Robberechts, Jesse Davis

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver.

Pieter Robberechts, Maarten Bosteels, Jesse Davis, Wannes Meert

Proceedings of the ECML PKDD 2018 Workshops, 2018