Jessa Bekker

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Relational Classification

Granger Causality

Decision Tree Induction

Top Venues

LIDTA@ECML/PKDD

Publications

Victor Verreet, Luc De Raedt, Jessa Bekker
Modeling PU learning using probabilistic logic programming. Mach. Learn. 113 (3) (2024)
Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Koen Vanthournout, Hendrik Blockeel, Bart De Moor, Jesus Lago
A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. IEEE Trans. Smart Grid 14 (1) (2023)
Vincent Derkinderen, Jessa Bekker, Pieter Smet
Optimizing workforce allocation under uncertain activity duration. Comput. Ind. Eng. 179 (2023)
Sander De Block, Jessa Bekker
Bagging Propensity Weighting: A Robust method for biased PU Learning. LIDTA (2022)
Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. AAAI (2022)
Tobias Cornille, Fengna Wang, Jessa Bekker
Interactive Multi-Level Prosody Control for Expressive Speech Synthesis. ICASSP (2022)
Jessa Bekker, Jesse Davis
Learning from positive and unlabeled data: a survey. Mach. Learn. 109 (4) (2020)
Jessa Bekker, Pieter Robberechts, Jesse Davis
Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data. ECML/PKDD (2) (2019)
Jessa Bekker, Jesse Davis
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. CoRR (2018)
Jessa Bekker, Jesse Davis
Learning from Positive and Unlabeled Data under the Selected At Random Assumption. LIDTA@ECML/PKDD (2018)
Jessa Bekker, Jesse Davis
Learning from Positive and Unlabeled Data under the Selected At Random Assumption. CoRR (2018)
Jessa Bekker, Jesse Davis
Learning From Positive and Unlabeled Data: A Survey. CoRR (2018)
Jessa Bekker, Jesse Davis
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction. AAAI (2018)
Yitao Liang, Jessa Bekker, Guy Van den Broeck
Learning the Structure of Probabilistic Sentential Decision Diagrams. UAI (2017)
Jessa Bekker, Jesse Davis
Positive and Unlabeled Relational Classification Through Label Frequency Estimation. ILP (2017)
Jessa Bekker, Arjen Hommersom, Martijn Lappenschaar, Jesse Davis
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks. CoRR (2016)
Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche, Guy Van den Broeck
Tractable Learning for Complex Probability Queries. NIPS (2015)