Meert, Wannes

23 publications

ICML 2025 Compressing Tree Ensembles Through Level-Wise Optimization and Pruning Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis

ECML-PKDD 2025 MotiPlus and MotiSet: Discovering the Best Set of Motiflets in Time Series Len Feremans, Patrick Schäfer, Wannes Meert

ECML-PKDD 2025 Queryable and Interpretable PU Learning Through Probabilistic Circuits Sieben Bocklandt, Vincent Derkinderen, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers, Luc De Raedt, Wannes Meert

MLJ 2024 Machine Learning with a Reject Option: A Survey Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis

MLJ 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

MLJ 2024 TSFuse: Automated Feature Construction for Multiple Time Series Data Arne De Brabandere, Tim Op De Beéck, Kilian Hendrickx, Wannes Meert, Jesse Davis

ECML-PKDD 2023 Detecting Evasion Attacks in Deployed Tree Ensembles Laurens Devos, Lorenzo Perini, Wannes Meert, Jesse Davis

ECML-PKDD 2023 Estimating Dynamic Time Warping Distance Between Time Series with Missing Data Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel

ECML-PKDD 2022 Multi-Domain Active Learning for Semi-Supervised Anomaly Detection Vincent Vercruyssen, Lorenzo Perini, Wannes Meert, Jesse Davis

AAAI 2021 An Automated Engineering Assistant: Learning Parsers for Technical Drawings Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert

AAAI 2021 Automated Reasoning and Learning for Automated Payroll Management Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies

ICML 2021 Versatile Verification of Tree Ensembles Laurens Devos, Wannes Meert, Jesse Davis

AAAI 2020 Transfer Learning for Anomaly Detection Through Localized and Unsupervised Instance Selection Vincent Vercruyssen, Wannes Meert, Jesse Davis

ECML-PKDD 2019 Fast Gradient Boosting Decision Trees with Bit-Level Data Structures Laurens Devos, Wannes Meert, Jesse Davis

IJCAI 2019 Learning Relational Representations with Auto-Encoding Logic Programs Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

ECML-PKDD 2019 Pattern-Based Anomaly Detection in Mixed-Type Time Series Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals

NeurIPS 2019 Towards Hardware-Aware Tractable Learning of Probabilistic Models Laura I Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck

NeurIPSW 2019 Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning Pedro Zuidberg Dos Martires, Vincent Derkinderen, Robin Manhaeve, Wannes Meert, Angelika Kimmig, Luc De Raedt

MLJ 2016 Lifted Generative Learning of Markov Logic Networks Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis

IJCAI 2015 Anytime Inference in Probabilistic Logic Programs with Tp-Compilation Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt

ECML-PKDD 2015 ProbLog2: Probabilistic Logic Programming Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt

IJCAI 2011 Lifted Probabilistic Inference by First-Order Knowledge Compilation Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt

ECML-PKDD 2010 First-Order Bayes-Ball Wannes Meert, Nima Taghipour, Hendrik Blockeel