Tractable Learning for Complex Probability Queries. - Jessa Bekker; Jesse Davis; Arthur Choi; Adnan Darwiche; Guy Van den Broeck (NIPS, 2015)

Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks. - Jessa Bekker; Arjen Hommersom; Martijn Lappenschaar; Jesse Davis (CoRR, 2016)

Positive and Unlabeled Relational Classification Through Label Frequency Estimation. - Jessa Bekker; Jesse Davis (ILP, 2017)

Learning the Structure of Probabilistic Sentential Decision Diagrams. - Yitao Liang; Jessa Bekker; Guy Van den Broeck (UAI, 2017)

Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction. - Jessa Bekker; Jesse Davis (AAAI, 2018)

Learning from Positive and Unlabeled Data under the Selected At Random Assumption. - Jessa Bekker; Jesse Davis (LIDTA@ECML/PKDD, 2018)

Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. - Jessa Bekker; Jesse Davis (CoRR, 2018)

Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data. - Jessa Bekker; Pieter Robberechts; Jesse Davis (ECML/PKDD (2), 2019)

Learning from positive and unlabeled data: a survey. - Jessa Bekker; Jesse Davis (Mach. Learn., 2020)

Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. - Jonas Schouterden; Jessa Bekker; Jesse Davis; Hendrik Blockeel (AAAI, 2022)

Interactive Multi-Level Prosody Control for Expressive Speech Synthesis. - Tobias Cornille; Fengna Wang; Jessa Bekker (ICASSP, 2022)

Bagging Propensity Weighting: A Robust method for biased PU Learning. - Sander De Block; Jessa Bekker (LIDTA, 2022)

A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. - Lola Botman; Jonas Soenen; Konstantinos Theodorakos; Aras Yurtman; Jessa Bekker; Koen Vanthournout; Hendrik Blockeel; Bart De Moor; Jesus Lago (IEEE Trans. Smart Grid, 2023)

Optimizing workforce allocation under uncertain activity duration. - Vincent Derkinderen; Jessa Bekker; Pieter Smet (Comput. Ind. Eng., 2023)

Modeling PU learning using probabilistic logic programming. - Victor Verreet; Luc De Raedt; Jessa Bekker (Mach. Learn., 2024)

Learning from biased positive-unlabeled data via threshold calibration. - Pawel Teisseyre; Timo Martens; Jessa Bekker; Jesse Davis (AISTATS, 2025)

Correction to: Modeling PU learning using probabilistic logic programming. - Victor Verreet; Luc De Raedt; Jessa Bekker (Mach. Learn., 2025)