W. Verbeke

Bart Baesens, Jan Vanthienen, María Óskarsdóttir, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach

K. Coussement, W. Verbeke, Arno De Caigny, 2021, Industrial Marketing Management.

Instance-dependent cost-sensitive learning for detecting transfer fraud

Bart Baesens, Wouter Verbeke, Tim Verdonck, 2020, Eur. J. Oper. Res..

Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles

Tias Guns, Wouter Verbeke, Cathy Macharis, 2019, IEEE Transactions on Intelligent Transportation Systems.

Mining social networks for customer churn prediction

Bart Baesens, Thomas Verbraken, Wouter Verbeke, 2011 .

Learning to Rank for Uplift Modeling pdf

Tias Guns, Wouter Verbeke, Floris Devriendt, 2020, IEEE Transactions on Knowledge and Data Engineering.

A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics

Wouter Verbeke, Floris Devriendt, Darie Moldovan, 2018, Big Data.

Uplift Modeling for preventing student dropout in higher education

Sebastián Maldonado, Wouter Verbeke, Diego Olaya, 2020, Decis. Support Syst..

A survey and benchmarking study of multitreatment uplift modeling

K. Coussement, W. Verbeke, Kristof Coussement, 2020, Data Mining and Knowledge Discovery.

Why you should stop predicting customer churn and start using uplift models

Wouter Verbeke, Jeroen Berrevoets, Floris Devriendt, 2021, Inf. Sci..

Timing Process Interventions with Causal Inference and Reinforcement Learning

Jochen De Weerdt, W. Verbeke, Hans Weytjens, 2023, ArXiv.

Recommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)

Wouter Verbeke, Frederik Gailly, Sven Casteleyn, 2017, Bus. Inf. Syst. Eng..

A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions

Joeri Van Mierlo, Wouter Verbeke, Thierry Coosemans, 2017 .

Misclassification cost-sensitive ensemble learning: A unifying framework pdf

Wouter Verbeke, George Petrides, W. Verbeke, 2020, ArXiv.

Optimizing the preventive maintenance frequency with causal machine learning

B. Baesens, W. Verbeke, R. Boute, 2023, International Journal of Production Economics.

Optimising Individual-Treatment-Effect Using Bandits pdf

Wouter Verbeke, Sam Verboven, Jeroen Berrevoets, 2019, ArXiv.

Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time

M. Schaar, W. Verbeke, A. Curth, 2023, ICML.

The Development of Hybrid and Electric Vehicles: Emergence and Development of the Patent Network

T. Coosemans, J. Mierlo, W. Verbeke, 2016 .

Predicting online channel acceptance with social network data

Bart Baesens, Thomas Verbraken, Wouter Verbeke, 2014, Decis. Support Syst..

Fraud Analytics : Using Descriptive, Predictive, and Social Network Techniques:A Guide to Data Science for Fraud Detection

Véronique Van Vlasselaer, B. Baesens, W. Verbeke, 2015 .

RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints

Bart Baesens, Wouter Verbeke, David Martens, 2017, Appl. Soft Comput..

Treatment effect optimisation in dynamic environments

W. Verbeke, Jeroen Berrevoets, Sam Verboven, 2022 .

Software Effort Prediction Using Regression Rule Extraction from Neural Networks

Bart Baesens, Rudy Setiono, Wouter Verbeke, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Profit optimizing customer churn prediction with Bayesian network classifiers

Bart Baesens, Thomas Verbraken, Wouter Verbeke, 2014, Intell. Data Anal..

Learning continuous-valued treatment effects through representation balancing

W. Verbeke, Christopher Bockel-Rickermann, Toon Vanderschueren, 2023, ArXiv.

Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods

Tias Guns, Wouter Verbeke, Lize Coenen, 2021, J. Oper. Res. Soc..

Redefining profit metrics for boosting student retention in higher education

Sebastián Maldonado, Wouter Verbeke, Jaime Miranda, 2021, Decis. Support Syst..

A Model for Range Estimation and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions

Joeri Van Mierlo, Wouter Verbeke, Thierry Coosemans, 2020, IEEE Transactions on Intelligent Transportation Systems.

The foundations of cost-sensitive causal classification pdf

Wouter Verbeke, Jeroen Berrevoets, Diego Olaya, 2020, ArXiv.

To do or not to do: cost-sensitive causal decision-making pdf

Marie-Anne Guerry, Wouter Verbeke, Diego Olaya, 2021, ArXiv.

Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda

Arno De Caigny, Koen W. De Bock, D. Delen, 2023, European Journal of Operational Research.

A study of the U.S. domestic air transportation network: temporal evolution of network topology and robustness from 2001 to 2016

Wouter Verbeke, Leonidas Siozos-Rousoulis, Dimitri Robert, 2020, Journal of Transportation Security.

Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation

W. Verbeke, Toon Vanderschueren, Tim Verdonck, 2024, ArXiv.

Client Recruitment for Federated Learning in ICU Length of Stay Prediction

B. Moor, W. Verbeke, Lyse Naomi Wamba Momo, 2023, IEEE International Conference on e-Science.