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Wouter Verbeke

Imec the Netherlands (per OpenAlex) · ORCID · OpenAlex

41 papers in scope · 40 published · 1 on the econ.EM arXiv · 2,073 citations · h-index 19 (over the papers listed here)

Papers

(1 of 41)

Uplift modeling with continuous treatments: A predict-then-optimize approach
published2025 · European Journal of Operational Research · 2 citations · first circulated 2024
Network Analytics for Anti-money Laundering—A Systematic Literature Review and Experimental Evaluation
published2025 · INFORMS Journal on Data Science · 6 citations · first circulated 2024
with Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck
Optimizing treatment allocation in the presence of interference
published2025 · European Journal of Operational Research · 1 citations · first circulated 2024
with Daan Caljon, Jente Van Belle, Jeroen Berrevoets
Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review
published2025 · Wiley Interdisciplinary Reviews Computational Statistics · 7 citations
with Bruno Deprez, Wei Wei, Bart Baesens, Kevin Mets, Tim Verdonck
Using dynamic loss weighting to boost improvements in forecast stability
published2025 · International Journal of Forecasting · first circulated 2024
with Daan Caljon, Jeff Vercauteren, Simon De Vos, Jente Van Belle
Code and Data for "Network Analytics for Anti-money Laundering—A Systematic Literature Review and Experimental Evaluation"
published2025 · INFORMS Journal on Data Science · 4 citations
with Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck
Can causal machine learning reveal individual bid responses of bank customers? — A study on mortgage loan applications in Belgium
published2024 · Decision Support Systems · 3 citations
Probabilistic Forecasting With Modified N-BEATS Networks
published2024 · IEEE Transactions on Neural Networks and Learning Systems · 6 citations
with Jente Van Belle, Ruben Crevits, Daan Caljon
Network analytics for insurance fraud detection: a critical case study
published2024 · European Actuarial Journal · 6 citations
with Bruno Deprez, Félix Vandervorst, Tim Verdonck, Bart Baesens
A new perspective on classification: Optimally allocating limited resources to uncertain tasks
published2023 · Decision Support Systems · 9 citations · first circulated 2022
with Toon Vanderschueren, Bart Baesens, Tim Verdonck
Claims fraud detection with uncertain labels
published2023 · Advances in Data Analysis and Classification · 1 citations
with Félix Vandervorst, Tim Verdonck
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda
published2023 · European Journal of Operational Research · 122 citations
with Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Słowiński, Bart Baesens, Robert Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, …
working paper2023 · arXiv
Robust instance-dependent cost-sensitive classification
published2023 · Advances in Data Analysis and Classification · 6 citations
with Simon De Vos, Toon Vanderschueren, Tim Verdonck
Improving forecast stability using deep learning
published2022 · International Journal of Forecasting · 20 citations
with Jente Van Belle, Ruben Crevits
Data misrepresentation detection for insurance underwriting fraud prevention
published2022 · Decision Support Systems · 17 citations
with Félix Vandervorst, Tim Verdonck
To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates
published2022 · European Journal of Operational Research · 27 citations
with Diego Olaya, Marie-Anne Guerry, Jente Van Belle
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies
published2022 · Information Sciences · 71 citations
with Toon Vanderschueren, Tim Verdonck, Bart Baesens
Instance-dependent cost-sensitive learning: do we really need it?
published2022 · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2 citations
with Toon Vanderschueren, Bart Baesens, Tim Verdonck
Introduction to the Minitrack on Fraud Detection Using Machine Learning
published2022 · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
with Tim Verdonck, María Óskarsdóttir, Bart Baesens
Treatment effect optimisation in dynamic environments
published2022 · Journal of Causal Inference · 4 citations
with Jeroen Berrevoets, Sam Verboven
Cost-sensitive ensemble learning: a unifying framework
published2021 · Data Mining and Knowledge Discovery · 34 citations · first circulated 2020
with George Petrides
Instance-dependent cost-sensitive learning for detecting transfer fraud
published2021 · European Journal of Operational Research · 3 citations · first circulated 2020
with Sebastiaan Höppner, Bart Baesens, Tim Verdonck
Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods
published2021 · Journal of the Operational Research Society · 26 citations
with Lize Coenen, Tias Guns
Redefining profit metrics for boosting student retention in higher education
published2021 · Decision Support Systems · 35 citations
with Sebastián Maldonado, Jaime Miranda, Diego Olaya, Jonathan Vásquez
Learning to Rank for Uplift Modeling
published2020 · IEEE Transactions on Knowledge and Data Engineering · 2 citations
with Floris Devriendt, Jente Van Belle, Tias Guns
Cost-sensitive learning for profit-driven credit scoring
published2020 · Journal of the Operational Research Society · 43 citations
with George Petrides, Darie Moldovan, Lize Coenen, Tias Guns
Profit-driven churn prediction for the mutual fund industry: A multisegment approach
published2020 · Omega · 33 citations
with Sebastián Maldonado, Gonzalo Domínguez, Diego Olaya
Autoencoders for strategic decision support
published2020 · Decision Support Systems · 15 citations
with Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens
Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains
published2020 · European Journal of Operational Research · 47 citations
with Jente Van Belle, Tias Guns
Uplift Modeling for preventing student dropout in higher education
published2020 · Decision Support Systems · 95 citations
with Diego Olaya, Jonathan Vásquez, Sebastián Maldonado, Jaime Miranda
A survey and benchmarking study of multitreatment uplift modeling
published2020 · Data Mining and Knowledge Discovery · 48 citations
with Diego Olaya, Kristof Coussement
Why you should stop predicting customer churn and start using uplift models
published2019 · Information Sciences · 86 citations
with Floris Devriendt, Jeroen Berrevoets
Reducing inferior member community participation using uplift modeling: Evidence from a field experiment
published2019 · Decision Support Systems · 12 citations
with Steven Debaere, Floris Devriendt, Johanna Brunneder, Tom De Ruyck, Kristof Coussement
A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions
published2017 · Energies · 157 citations
with Cedric De Cauwer, Thierry Coosemans, Saphir Faid, Joeri Van Mierlo
Predicting online channel acceptance with social network data
published2013 · Decision Support Systems · 34 citations
with Thomas Verbraken, Frank Goethals, Bart Baesens
A Novel Credit Rating Migration Modeling Approach Using Macroeconomic Indicators
published2013 · Journal of Forecasting · 4 citations
with Koen Berteloot, Gerd Castermans, Tony Van Gestel, David Martens, Bart Baesens
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
published2011 · European Journal of Operational Research · 441 citations
with Karel Dejaeger, David Martens, Joon Hur, Bart Baesens
Performance of classification models from a user perspective
published2011 · Decision Support Systems · 116 citations
with David Martens, Jan Vanthienen, Bart Baesens
Credit scoring for microfinance: is it worth it?
published2011 · International Journal of Finance & Economics · 106 citations
with Joris Van Gool, Piet Sercu, Bart Baesens
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
published2010 · Decision Support Systems · 422 citations
with Johan Huysmans, Karel Dejaeger, Christophe Mues, Jan Vanthienen, Bart Baesens

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.