MERCS: Multi-Directional Ensembles of Regression and Classification Trees. - Elia Van Wolputte; Evgeniya Korneva; Hendrik Blockeel (AAAI, 2018)

COBRAS: Interactive Clustering with Pairwise Queries. - Toon van Craenendonck; Sebastijan Dumancic; Elia Van Wolputte; Hendrik Blockeel (IDA, 2018)

COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints. - Toon van Craenendonck; Sebastijan Dumancic; Elia Van Wolputte; Hendrik Blockeel (CoRR, 2018)

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). - Yann Dauxais; Clément Gautrais; Anton Dries; Arcchit Jain; Samuel Kolb; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (PKDD/ECML Workshops (1), 2019)

Missing Value Imputation with MERCS: A Faster Alternative to MissForest. - Elia Van Wolputte; Hendrik Blockeel (DS, 2020)

VisualSynth: Democratizing Data Science in Spreadsheets. - Clément Gautrais; Yann Dauxais; Samuel Kolb; Arcchit Jain; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (ECML/PKDD (5), 2020)

avatar - Automated Feature Wrangling for Machine Learning. - Gust Verbruggen; Elia Van Wolputte; Sebastijan Dumancic; Luc De Raedt (IDA, 2021)

Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. - Kshitij Goyal; Wannes Meert; Hendrik Blockeel; Elia Van Wolputte; Koen Vanderstraeten; Wouter Pijpops; Kurt Jaspers (BNAIC/BENELEARN, 2022)

AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection. - Jonas Soenen; Elia Van Wolputte; Vincent Vercruyssen; Wannes Meert; Hendrik Blockeel (CoRR, 2023)