Fast Gradient Boosting Decision Trees with Bit-Level Data Structures. - Laurens Devos; Wannes Meert; Jesse Davis (ECML/PKDD (1), 2019)

Additive Tree Ensembles: Reasoning About Potential Instances. - Laurens Devos; Wannes Meert; Jesse Davis (CoRR, 2020)

Versatile Verification of Tree Ensembles. - Laurens Devos; Wannes Meert; Jesse Davis (ICML, 2021)

Verifying Tree Ensembles by Reasoning about Potential Instances. - Laurens Devos; Wannes Meert; Jesse Davis (SDM, 2021)

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 (EBeM@IJCAI, 2022)

Bitpaths: Compressing Datasets Without Decreasing Predictive Performance. - Loren Nuyts; Laurens Devos; Wannes Meert; Jesse Davis (PKDD/ECML Workshops (1), 2022)

Adversarial Example Detection in Deployed Tree Ensembles. - Laurens Devos; Wannes Meert; Jesse Davis (CoRR, 2022)

Detecting Evasion Attacks in Deployed Tree Ensembles. - Laurens Devos; Lorenzo Perini; Wannes Meert; Jesse Davis (ECML/PKDD (5), 2023)

Decision trees: from efficient prediction to responsible AI. - Hendrik Blockeel; Laurens Devos; Benoît Frénay; Géraldin Nanfack; Siegfried Nijssen (Frontiers Artif. Intell., 2023)

Robustness Verification of Multi-Class Tree Ensembles. - Laurens Devos; Lorenzo Cascioli; Jesse Davis (AAAI, 2024)

Safety Verification of Tree-Ensemble Policies via Predicate Abstraction. - Chaahat Jain; Lorenzo Cascioli; Laurens Devos; Marcel Vinzent; Marcel Steinmetz; Jesse Davis; Jörg Hoffmann 001 (ECAI, 2024)

Faster Repeated Evasion Attacks in Tree Ensembles. - Lorenzo Cascioli; Laurens Devos; Ondrej Kuzelka; Jesse Davis (NeurIPS, 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., 2024)