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Jessa Bekker
Jessa Bekker
Verified email at cs.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Learning from positive and unlabeled data: A survey
J Bekker, J Davis
Machine Learning 109 (4), 719-760, 2020
1972020
Learning the structure of probabilistic sentential decision diagrams
Y Liang, J Bekker, G Van den Broeck
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence …, 2017
782017
Estimating the class prior in positive and unlabeled data through decision tree induction
J Bekker, J Davis
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
762018
Tractable learning for complex probability queries
J Bekker, J Davis, A Choi, A Darwiche, G Van den Broeck
Advances in Neural Information Processing Systems 28, 2015
582015
Beyond the selected completely at random assumption for learning from positive and unlabeled data
J Bekker, P Robberechts, J Davis
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
392019
Learning from positive and unlabeled data under the selected at random assumption
J Bekker, J Davis
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
122018
Positive and unlabeled relational classification through label frequency estimation
J Bekker, J Davis
International Conference on Inductive Logic Programming, 16-30, 2017
72017
Learning from positive and unlabeled data
J Bekker
22018
Measuring adverse drug effects on multimorbity using tractable bayesian networks
J Bekker, A Hommersom, M Lappenschaar, J Davis
arXiv preprint arXiv:1612.03055, 2016
12016
Interactive Multi-Level Prosody Control for Expressive Speech Synthesis
T Cornille, F Wang, J Bekker
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2022
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias
J Schouterden, J Bekker, J Davis, H Blockeel
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
2021
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks.: Machine Learning for Health
J Bekker, AJ Hommersom, M Lappenschaar, JGE Janzing
2016
Learning the Structure of Probabilistic SDDs
J Bekker, A Choi, G Van den Broeck
Women in Machine Learning, 2016
2016
Ordering-based search for tractable Bayesian networks
J Bekker, G Van den Broeck, J Davis
Women in Machine Learning, Date: 2015/12/07-2015/12/07, Location: Montreal, 2015
2015
Learning from positive and unlabeled data: a survey Open Website
J Bekker, J Davis
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