Jessa Bekker

21 papers A* 3A 2B 1Misc 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
AAAI
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2025 J jnl
Correction to: Modeling PU learning using probabilistic logic programming.
Mach. Learn.
Victor Verreet, Luc De Raedt, Jessa Bekker
2025 A conf
Learning from biased positive-unlabeled data via threshold calibration.
AISTATS
Pawel Teisseyre, Timo Martens, Jessa Bekker, Jesse Davis
2025 J jnl
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
CoRR
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2024 J jnl
Modeling PU learning using probabilistic logic programming.
Mach. Learn.
Victor Verreet, Luc De Raedt, Jessa Bekker
2023 J jnl
A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households.
IEEE Trans. Smart Grid
Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Koen Vanthournout, Hendrik Blockeel, Bart De Moor, Jesus Lago
2023 J jnl
Optimizing workforce allocation under uncertain activity duration.
Comput. Ind. Eng.
Vincent Derkinderen, Jessa Bekker, Pieter Smet
2022 — conf
Bagging Propensity Weighting: A Robust method for biased PU Learning.
LIDTA
Sander De Block, Jessa Bekker
2022 Misc conf
Interactive Multi-Level Prosody Control for Expressive Speech Synthesis.
ICASSP
Tobias Cornille, Fengna Wang, Jessa Bekker
2022 A* conf
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias.
AAAI
Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel
2020 J jnl
Learning from positive and unlabeled data: a survey.
Mach. Learn.
Jessa Bekker, Jesse Davis
2019 — conf
Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data.
ECML/PKDD (2)
Jessa Bekker, Pieter Robberechts, Jesse Davis
2018 J jnl
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data.
CoRR
Jessa Bekker, Jesse Davis
2018 A* conf
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction.
AAAI
Jessa Bekker, Jesse Davis
2018 J jnl
Learning From Positive and Unlabeled Data: A Survey.
CoRR
Jessa Bekker, Jesse Davis
2018 — conf
Learning from Positive and Unlabeled Data under the Selected At Random Assumption.
LIDTA@ECML/PKDD
Jessa Bekker, Jesse Davis
2018 J jnl
Learning from Positive and Unlabeled Data under the Selected At Random Assumption.
CoRR
Jessa Bekker, Jesse Davis
2017 A conf
Learning the Structure of Probabilistic Sentential Decision Diagrams.
UAI
Yitao Liang, Jessa Bekker, Guy Van den Broeck
2017 B conf
Positive and Unlabeled Relational Classification Through Label Frequency Estimation.
ILP
Jessa Bekker, Jesse Davis
2016 J jnl
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks.
CoRR
Jessa Bekker, Arjen Hommersom, Martijn Lappenschaar, Jesse Davis
2015 — conf
Tractable Learning for Complex Probability Queries.
NIPS
Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche, Guy Van den Broeck