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Researcher
Elia Van Wolputte
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Oct 2016 → 4 Aug 2020
Projects
1 - 1 of 1
- Induction of multi-directional ensembles of decision treesFrom4 Oct 2016 → 4 Oct 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 7 of 7
- AVATAR — Automated feature wrangling for machine learning(2021)
Authors: Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt
Pages: 235 - 247 - Missing value imputation with MERCS: a faster alternative to MissForest(2020)
Authors: Elia Van Wolputte, Hendrik Blockeel
Pages: 502 - 516 - VisualSynth: Democratizing Data Science in Spreadsheets(2020)
Authors: Samuel Kolb, Mohit Kumar Mohit Kumar, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
Pages: 550 - 554 - SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract)(2020)
Authors: Yann Dauxais, Clément Gautrais, Arcchit Jain, Samuel Kolb, Mohit Kumar Mohit Kumar, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
Pages: 102 - 110Number of pages: 670 - Anomaly Detection for CERN Beam Transfer Installations Using Machine Learning(2019)
Authors: Wannes Meert, Elia Van Wolputte
Pages: 1066 - 1070 - MERCS: Multi-directional Ensembles of Regression and Classification Trees(2018)
Authors: Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel
Pages: 4276 - 4283Number of pages: 8 - Code-modulated visual evoked potentials using fast stimulus presentation and spatiotemporal beamformer decoding(2017)
Authors: Benjamin Wittevrongel, Elia Van Wolputte, Marc Van Hulle