Elia Van Wolputte

According to our database, Elia Van Wolputte authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection.

Jonas Soenen, Elia Van Wolputte, Vincent Vercruyssen, Wannes Meert, Hendrik Blockeel

CoRR, 2023

2022

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

Proceedings of the Artificial Intelligence and Machine Learning, 2022

2021

avatar - Automated Feature Wrangling for Machine Learning.

Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

VisualSynth: Democratizing Data Science in Spreadsheets.

Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Missing Value Imputation with MERCS: A Faster Alternative to MissForest.

Elia Van Wolputte, Hendrik Blockeel

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract).

Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints.

Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel

CoRR, 2018

COBRAS: Interactive Clustering with Pairwise Queries.

Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

MERCS: Multi-Directional Ensembles of Regression and Classification Trees.

Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018