Wouter Verbeke
Scholar

Wouter Verbeke

Google Scholar ID: Ckyal8gAAAAJ
Professor of Decision Science, KU Leuven, Faculty of Economics and Business
Decision ScienceCredit RiskData ScienceCausal Machine LearningUplift Modeling
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
4,024
 
H-index
32
 
i10-index
54
 
Publications
20
 
Co-authors
68
list available
Contact
Emailwouter.verbeke@kuleuven.beLinkedInOpen ↗
Publications
11 items
Estimating Treatment Effects in Networks using Domain Adversarial Training
2025
Cited
0
Uncertainty in Machine Learning
2025
Cited
0
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
2025
Cited
0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
2025
Cited
0
Decision-centric fairness: Evaluation and optimization for resource allocation problems
2025
Cited
0
Beware of"Explanations"of AI
2025
Cited
0
Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review
2025
Cited
0
Uplift modeling with continuous treatments: A predict-then-optimize approach
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
68 total
Bart Baesens
Bart Baesens
Full professor, KU Leuven
David Martens
David Martens
University of Antwerp
Tim Verdonck
Tim Verdonck
Professor Statistics and Data Science, UAntwerp
Co-author 4
Co-author 4
Co-author 5
Co-author 5
Jeroen Berrevoets
Jeroen Berrevoets
University of Cambridge
Jente Van Belle
Jente Van Belle
KU Leuven
Co-author 8
Co-author 8