A Preliminary Open Data Publishing Strategy for Live Data in Flanders. - Julián Andrés Rojas Meléndez; Brecht Van de Vyvere; Arne Gevaert; Ruben Taelman; Pieter Colpaert; Ruben Verborgh (WWW (Companion Volume), 2018)

Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference Systems. - Arne Gevaert; Jonathan Peck; Yvan Saeys (BNAIC/BENELEARN, 2019)

Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems. - Arne Gevaert; Jonathan Peck; Yvan Saeys (FUZZ-IEEE, 2022)

PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition. - Arne Gevaert; Yvan Saeys (CoRR, 2022)

Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters. - Arne Gevaert; Axel-Jan Rousseau; Thijs Becker; Dirk Valkenborg; Tijl De Bie; Yvan Saeys (Zenodo, 2022)

Evaluating Feature Attribution Methods in the Image Domain: High-Dimensional Datasets. - Arne Gevaert; Axel-Jan Rousseau; Thijs Becker; Dirk Valkenborg; Tijl De Bie; Yvan Saeys (Zenodo, 2022)

Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition. - Arne Gevaert; Anna Saranti; Andreas Holzinger; Yvan Saeys (CD-MAKE, 2023)

Unifying Attribution-Based Explanations Using Functional Decomposition. - Arne Gevaert; Yvan Saeys (CoRR, 2024)

Evaluating Feature Attribution Methods in the Image Domain: Benchmark results and model parameters. - Arne Gevaert; Axel-Jan Rousseau; Thijs Becker; Dirk Valkenborg; Tijl De Bie; Yvan Saeys (Zenodo, 2024)

Evaluating feature attribution methods in the image domain. - Arne Gevaert; Axel-Jan Rousseau; Thijs Becker; Dirk Valkenborg; Tijl De Bie; Yvan Saeys (Mach. Learn., 2024)

Tree smoothing: Post-hoc regularization of tree ensembles for interpretable machine learning. - Bastian Pfeifer; Arne Gevaert; Markus Loecher; Andreas Holzinger (Inf. Sci., 2025)