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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
6072020
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
1312018
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
1082017
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
1052019
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
702015
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
192018
A scalable ensemble approach to forecast the electricity consumption of households
L Botman, J Soenen, K Theodorakos, A Yurtman, J Bekker, ...
IEEE Transactions on Smart Grid 14 (1), 757-768, 2022
122022
Positive and unlabeled relational classification through label frequency estimation
J Bekker, J Davis
Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018
112018
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
72022
Learning from positive and unlabeled data
J Bekker
PhD thesis, 2018
52018
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 36 (4), 4137-4145, 2022
32022
Modeling PU learning using probabilistic logic programming
V Verreet, L De Raedt, J Bekker
Machine Learning 113 (3), 1351-1372, 2024
12024
Bagging Propensity Weighting: A Robust method for biased PU Learning
S De Block, J Bekker
Fourth International Workshop on Learning with Imbalanced Domains: Theory …, 2022
12022
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
Optimizing workforce allocation under uncertain activity duration
V Derkinderen, J Bekker, P Smet
Computers & Industrial Engineering 179, 109228, 2023
2023
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks.: Machine Learning for Health
J Bekker, AJ Hommersom, M Lappenschaar, JGE Janzing
Neural Information Processing Systems, 2016
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
Replication Data for: Optimizing Workforce Allocation under Uncertain Activity Duration
V DERKINDEREN, J BEKKER, P SMET
KU Leuven RDR, 0
Inferring Missing CV Skills using PU Learning and Variational Inference
V Verreet, L De Smet, R Manhaeve, P Delobelle, J Bekker
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