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Researcher
Jonas Soenen
- Disciplines:Data mining
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Oct 2019 → 4 Aug 2020
Projects
1 - 1 of 1
- Semi-Supervised and Explainable Machine Learning with an Application to the Low-Voltage GridFrom1 Oct 2019 → 9 Sep 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 5 of 5
- Semi-Supervised and Explainable Machine Learning with an Application to the Low-Voltage Grid(2023)
Authors: Jonas Soenen, Hendrik Blockeel
- Estimating Dynamic Time Warping Distance Between Time Series with Missing Data(2023)
Authors: Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel
Pages: 221 - 237Number of pages: 17 - Scenario Generation of Residential Electricity Consumption Through Sampling Of Historical Data(2023)
Authors: Jonas Soenen, Aras Yurtman, Wannes Meert, Hendrik Blockeel
- A scalable ensemble approach to forecast the electricity consumption of households(2022)
Authors: Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Hendrik Blockeel, Bart De Moor
Pages: 757 - 768 - Tackling noise in active semi-supervised clustering(2021)
Authors: Jonas Soenen, Sebastijan Dumancic, Hendrik Blockeel
Pages: 121 - 136