Jessa Bekker

KU Leuven — Belgium

Computer Science · Physical Sciences

7h-index281citations18works0.02yr avg
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Research Topics

Machine Learning and Algorithms(8), Machine Learning and Data Classification(7), Bayesian Modeling and Causal Inference(6), Imbalanced Data Classification Techniques(6), Logic, Reasoning, and Knowledge(3)

Publications18 total

Correction to: Modeling PU learning using probabilistic logic programming
Machine Learning·2025Open Access
Modeling PU learning using probabilistic logic programming
Machine Learning·2023· 1 citedOpen Access
Optimizing workforce allocation under uncertain activity duration
Computers & Industrial Engineering·2023· 5 citedOpen Access
A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households
IEEE Transactions on Smart Grid·2022· 18 citedOpen Access
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 2 citedOpen Access
Interactive Multi-Level Prosody Control for Expressive Speech Synthesis
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)·2022· 4 cited
Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data
Lecture notes in computer science·2020· 17 citedOpen Access
Beyond the Selected Completely At Random Assumption for Learning from\n Positive and Unlabeled Data
arXiv (Cornell University)·2018· 3 citedOpen Access
Learning from Positive and Unlabeled Data under the Selected At Random Assumption
Lirias (KU Leuven)·2018· 8 citedOpen Access
Learning from Positive and Unlabeled Data under the Selected At Random\n Assumption
arXiv (Cornell University)·2018· 13 citedOpen Access
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction
Proceedings of the AAAI Conference on Artificial Intelligence·2018· 110 citedOpen Access
Positive and Unlabeled Relational Classification Through Label Frequency Estimation
Lecture notes in computer science·2018· 7 citedOpen Access
Learning the Structure of Probabilistic Sentential Decision Diagrams
Lirias (KU Leuven)·2017· 57 citedOpen Access
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks. : Machine Learning for Health
Open University of the Netherlands Research Portal·2016
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks
arXiv (Cornell University)·2016· 1 citedOpen Access
Learning the structure of probabilistic SDDs
2016
Ordering-based search for tractable Bayesian networks
Lirias (KU Leuven)·2015Open Access
Tractable learning for complex probability queries
Lirias (KU Leuven)·2015· 35 citedOpen Access

Frequent Co-authors

Jesse Davis(10), Guy Van den Broeck(4), Arthur Choi(2), Hendrik Blockeel(2), Pieter Robberechts(2), Victor Verreet(2), Luc De Raedt(2), Arjen Hommersom(2), Martijn Lappenschaar(2), Yitao Liang(1), Adnan Darwiche(1), Lola Botman(1), Jonas Soenen(1), Konstantinos Theodorakos(1), Aras Yurtman(1), Koen Vanthournout(1), Bart De Moor(1), Jesus Lago(1), Vincent Derkinderen(1), Pieter Smet(1)