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Career

· PhD Student, KU Leuven2018–
· Professional Table Tennis Player, Sport Vlaanderen
· Graduate Student, Topsportschool Leuven
· Student (Finance and Insurance), UC Leuven-Limburg

Publications (32)

Decision trees: from efficient prediction to responsible AI
Frontiers Artif. Intell. · 2023
155
cited
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
Machine-mediated learning · 2024
40
cited
Fast Gradient Boosting Decision Trees with Bit-Level Data Structures
ECML/PKDD · 2019
22
cited
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned
EBeM@IJCAI · 2022
14
cited
Versatile Verification of Tree Ensembles
International Conference on Machine Learning · 2020
14
cited
Gradient boosting for quantitative finance
2021
9
cited
Verifying Tree Ensembles by Reasoning about Potential Instances
SDM · 2020
8
cited
Additive Tree Ensembles: Reasoning About Potential Instances
arXiv.org · 2020
3
cited
Detecting Evasion Attacks in Deployed Tree Ensembles
ECML/PKDD · 2023
3
cited
Adversarial Example Detection in Deployed Tree Ensembles
arXiv.org · 2022
2
cited
Compressing tree ensembles through Level-wise Optimization and Pruning
International Conference on Machine Learning · 2025
1
cited
Faster Repeated Evasion Attacks in Tree Ensembles
Neural Information Processing Systems · 2024
1
cited
Safety Verification of Tree-Ensemble Policies via Predicate Abstraction
European Conference on Artificial Intelligence · 2024
1
cited
Bitpaths: Compressing Datasets Without Decreasing Predictive Performance
PKDD/ECML Workshops · 2022
Bounded-Abstention Multi-horizon Time-series Forecasting
2026
Robustness Verification of Multi-Class Tree Ensembles
AAAI Conference on Artificial Intelligence · 2024
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Laurens Devos | Researcher Profile | Sotabase | Sotabase