Wouter Verbeke

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 63

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke, Bart Baesens
Evaluating text classification: A benchmark study. Expert Syst. Appl. 254 (2024)
Simon De Vos, Johannes De Smedt, Marijke Verbruggen, Wouter Verbeke
Data-driven internal mobility: Similarity regularization gets the job done. Knowl. Based Syst. 295 (2024)
Christopher Bockel-Rickermann, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation. CoRR (2024)
Toon Vanderschueren, Wouter Verbeke, Felipe Moraes, Hugo Manuel Proença
Metalearners for Ranking Treatment Effects. CoRR (2024)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: Optimally allocating limited resources to uncertain tasks. Decis. Support Syst. 179 (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
Félix Vandervorst, Wouter Verbeke, Tim Verdonck
Claims fraud detection with uncertain labels. Adv. Data Anal. Classif. 18 (1) (2024)
Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation. CoRR (2024)
Wouter Verbeke, Diego Olaya, Marie-Anne Guerry, Jente Van Belle
To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates. Eur. J. Oper. Res. 305 (2) (2023)
Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor
Client Recruitment for Federated Learning in ICU Length of Stay Prediction. CoRR (2023)
Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
Robust instance-dependent cost-sensitive classification. Adv. Data Anal. Classif. 17 (4) (2023)
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Vincent Ginis, Wouter Verbeke
HydaLearn. Appl. Intell. 53 (5) (2023)
Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. ICML (2023)
Hans Weytjens, Wouter Verbeke, Jochen De Weerdt
Timed Process Interventions: Causal Inference vs. Reinforcement Learning. Business Process Management Workshops (2023)
Hans Weytjens, Wouter Verbeke, Jochen De Weerdt
Timing Process Interventions with Causal Inference and Reinforcement Learning. CoRR (2023)
Christopher Bockel-Rickermann, Sam Verboven, Tim Verdonck, Wouter Verbeke
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions. CoRR (2023)
Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
Learning continuous-valued treatment effects through representation balancing. CoRR (2023)
Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. CoRR (2023)
Théo Verhelst, Robin Petit, Wouter Verbeke, Gianluca Bontempi
Uplift vs. predictive modeling: a theoretical analysis. CoRR (2023)
Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke
NOFLITE: Learning to Predict Individual Treatment Effect Distributions. Trans. Mach. Learn. Res. 2023 (2023)
Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
Fraud analytics: A decade of research: Organizing challenges and solutions in the field. Expert Syst. Appl. 232 (2023)
Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor
Client Recruitment for Federated Learning in ICU Length of Stay Prediction. e-Science (2023)
George Petrides, Darie Moldovan, Lize Coenen, Tias Guns, Wouter Verbeke
Cost-sensitive learning for profit-driven credit scoring. J. Oper. Res. Soc. 73 (2) (2022)
Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf. Sci. 594 (2022)
George Petrides, Wouter Verbeke
Cost-sensitive ensemble learning: a unifying framework. Data Min. Knowl. Discov. 36 (1) (2022)
Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens
Introduction to the Minitrack on Fraud Detection Using Machine Learning. HICSS (2022)
Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
Instance-dependent cost-sensitive learning: do we really need it? HICSS (2022)
Lize Coenen, Wouter Verbeke, Tias Guns
Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods. J. Oper. Res. Soc. 73 (1) (2022)
Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke
Fraud Analytics: A Decade of Research - Organizing Challenges and Solutions in the Field. CoRR (2022)
Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
Prescriptive maintenance with causal machine learning. CoRR (2022)
Floris Devriendt, Jente Van Belle, Tias Guns, Wouter Verbeke
Learning to Rank for Uplift Modeling. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: optimally allocating limited resources to uncertain tasks. CoRR (2022)
Félix Vandervorst, Wouter Verbeke, Tim Verdonck
Data misrepresentation detection for insurance underwriting fraud prevention. Decis. Support Syst. 159 (2022)
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
Weight-of-evidence through shrinkage and spline binning for interpretable nonlinear classification. Appl. Soft Comput. 115 (2022)
Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
Instance-dependent cost-sensitive learning for detecting transfer fraud. Eur. J. Oper. Res. 297 (1) (2022)
Sebastián Maldonado, Jaime Miranda, Diego Olaya, Jonathan Vásquez, Wouter Verbeke
Redefining profit metrics for boosting student retention in higher education. Decis. Support Syst. 143 (2021)
Floris Devriendt, Jeroen Berrevoets, Wouter Verbeke
Why you should stop predicting customer churn and start using uplift models. Inf. Sci. 548 (2021)
Jente Van Belle, Tias Guns, Wouter Verbeke
Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains. Eur. J. Oper. Res. 288 (2) (2021)
Diego Olaya, Wouter Verbeke, Jente Van Belle, Marie-Anne Guerry
To do or not to do: cost-sensitive causal decision-making. CoRR (2021)
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
Autoencoders for strategic decision support. Decis. Support Syst. 150 (2021)
Jakob Raymaekers, Wouter Verbeke, Tim Verdonck
Weight-of-evidence 2.0 with shrinkage and spline-binning. CoRR (2021)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry. CoRR (2020)
Wouter Verbeke, Diego Olaya, Jeroen Berrevoets, Sebastián Maldonado
The foundations of cost-sensitive causal classification. CoRR (2020)
Cedric De Cauwer, Wouter Verbeke, Joeri Van Mierlo, Thierry Coosemans
A Model for Range Estimation and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions. IEEE Trans. Intell. Transp. Syst. 21 (7) (2020)
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets, Wouter Verbeke
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks. CoRR (2020)
George Petrides, Wouter Verbeke
Misclassification cost-sensitive ensemble learning: A unifying framework. CoRR (2020)
Diego Olaya, Kristof Coussement, Wouter Verbeke
A survey and benchmarking study of multitreatment uplift modeling. Data Min. Knowl. Discov. 34 (2) (2020)
Diego Olaya, Jonathan Vásquez, Sebastián Maldonado, Jaime Miranda, Wouter Verbeke
Uplift Modeling for preventing student dropout in higher education. Decis. Support Syst. 134 (2020)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. CoRR (2020)
Floris Devriendt, Tias Guns, Wouter Verbeke
Learning to rank for uplift modeling. CoRR (2020)
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
Autoencoders for strategic decision support. CoRR (2020)
Leonidas Siozos-Rousoulis, Dimitri Robert, Wouter Verbeke
A study of the U.S. domestic air transportation network: Temporal evolution of network topology and robustness from 2001 to 2016. CoRR (2020)
Steven Debaere, Floris Devriendt, Johanna Brunneder, Wouter Verbeke, Tom De Ruyck, Kristof Coussement
Reducing inferior member community participation using uplift modeling: Evidence from a field experiment. Decis. Support Syst. 123 (2019)
Jeroen Berrevoets, Wouter Verbeke
Causal Simulations for Uplift Modeling. CoRR (2019)
Jeroen Berrevoets, Sam Verboven, Wouter Verbeke
Optimising Individual-Treatment-Effect Using Bandits. CoRR (2019)
Sheida Hadavi, Sara Verlinde, Wouter Verbeke, Cathy Macharis, Tias Guns
Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles. IEEE Trans. Intell. Transp. Syst. 20 (10) (2019)
Bart Baesens, Wouter Verbeke, Cristián Bravo
Special Issue on Profit-Driven Analytics. Big Data 6 (1) (2018)
Franco Garrido, Wouter Verbeke, Cristián Bravo
A Robust profit measure for binary classification model evaluation. Expert Syst. Appl. 92 (2018)
Floris Devriendt, Darie Moldovan, Wouter Verbeke
A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics. Big Data 6 (1) (2018)
Wouter Verbeke, David Martens, Bart Baesens
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints. Appl. Soft Comput. 60 (2017)
Frederik Gailly, Nadejda Alkhaldi, Sven Casteleyn, Wouter Verbeke
Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+). Bus. Inf. Syst. Eng. 59 (4) (2017)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. Expert Syst. Appl. 85 (2017)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
A comparative study of social network classifiers for predicting churn in the telecommunication industry. ASONAM (2016)
Thomas Verbraken, Wouter Verbeke, Bart Baesens
Profit optimizing customer churn prediction with Bayesian network classifiers. Intell. Data Anal. 18 (1) (2014)
Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens
Predicting online channel acceptance with social network data. Decis. Support Syst. 63 (2014)
Wouter Verbeke, David Martens, Bart Baesens
Social network analysis for customer churn prediction. Appl. Soft Comput. 14 (2014)
Thomas Verbraken, Wouter Verbeke, Bart Baesens
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Wouter Verbeke, Karel Dejaeger, David Martens, Joon Hur, Bart Baesens
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. Eur. J. Oper. Res. 218 (1) (2012)
Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
Data Mining Techniques for Software Effort Estimation: A Comparative Study. IEEE Trans. Software Eng. 38 (2) (2012)
David Martens, Jan Vanthienen, Wouter Verbeke, Bart Baesens
Performance of classification models from a user perspective. Decis. Support Syst. 51 (4) (2011)
Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens
Using Social Network Classifiers for Predicting E-Commerce Adoption. WEB (2011)
Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens
Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Syst. Appl. 38 (3) (2011)
Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
Software Effort Prediction Using Regression Rule Extraction from Neural Networks. ICTAI (2) (2010)
Wouter Verbeke, Bart Baesens, David Martens, Manu De Backer, Raf Haesen
Including Domain Knowledge in Customer Churn Prediction Using AntMiner+. DMM@ICDM (2009)

Wouter Verbeke.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Wouter Verbeke