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Researcher
Jessa Bekker
- Disciplines:Knowledge representation and reasoning, Machine learning and decision making
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From1 Sep 2014 → 4 Aug 2020
Projects
1 - 1 of 1
- Machine Learning Techniques for Physical Therapy.From2 Sep 2014 → 31 Dec 2018Funding: IWT personal funding - strategic basic research grants
Publications
1 - 10 of 11
- Modeling PU learning using probabilistic logic programming(2024)
Authors: Victor Verreet, Luc De Raedt, Jessa Bekker
Pages: 1351 - 1372 - Optimizing workforce allocation under uncertain activity duration(2023)
Authors: Vincent Derkinderen, Jessa Bekker, Pieter Smet
- 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 - Learning from positive and unlabeled data: a survey(2020)
Authors: Jessa Bekker, Jesse Davis
Pages: 719 - 760 - Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data(2020)
Authors: Jessa Bekker, Pieter Robberechts, Jesse Davis
Pages: 71 - 85Number of pages: 15 - Learning from Positive and Unlabeled Data(2018)
Authors: Jessa Bekker, Jesse Davis
Number of pages: 42 - Learning from positive and unlabeled data under the selected at random assumption(2018)
Authors: Jessa Bekker, Jesse Davis
Pages: 8 - 22Number of pages: 14 - Estimating the class prior in positive and unlabeled data through decision tree induction(2018)
Authors: Jessa Bekker, Jesse Davis
Pages: 2712 - 2719Number of pages: 8 - Positive and unlabeled relational classification through label frequency estimation(2017)
Authors: Jessa Bekker, Jesse Davis
Pages: 16 - 30 - Learning the structure of probabilistic sentential decision diagrams(2017)
Authors: Jessa Bekker
Number of pages: 10
Linked dataset
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