Koen W. De Bock

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Churn Prediction

Sparsity Regularization

Ensemble Selection

Top Venues

Eur. J. Oper. Res.

Decis. Support Syst.

Ann. Oper. Res.

Publications

Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
Coupling Neural Networks Between Clusters for Better Personalized Care. HICSS (2024)
Arno De Caigny, Koen W. De Bock, Sam Verboven
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis. Decis. Support Syst. 181 (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)
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. Ann. Oper. Res. 339 (1-2) (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny
Explainable Analytics for Operational Research. Eur. J. Oper. Res. 317 (2) (2024)
Kristof Coussement, Koen W. De Bock, Stijn Geuens
A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer. Ann. Oper. Res. 315 (2) (2022)
Stefan Lessmann, Johannes Haupt, Kristof Coussement, Koen W. De Bock
Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Inf. Sci. 557 (2021)
Koen W. De Bock, Arno De Caigny
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling. Decis. Support Syst. 150 (2021)
Koen W. De Bock, Kristof Coussement, Stefan Lessmann
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach. Eur. J. Oper. Res. 285 (2) (2020)
Arno De Caigny, Kristof Coussement, Koen W. De Bock
Leveraging fine-grained transaction data for customer life event predictions. Decis. Support Syst. 130 (2020)
C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. CoRR (2019)
Stijn Geuens, Kristof Coussement, Koen W. De Bock
A framework for configuring collaborative filtering-based recommendations derived from purchase data. Eur. J. Oper. Res. 265 (1) (2018)
Arno De Caigny, Kristof Coussement, Koen W. De Bock
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. Eur. J. Oper. Res. 269 (2) (2018)
Koen W. De Bock
The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles. Expert Syst. Appl. 90 (2017)
Annika Baumann, Stefan Lessmann, Kristof Coussement, Koen W. De Bock
Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection. ECIS (2015)
Koen W. De Bock, Dirk Van den Poel
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models. Expert Syst. Appl. 39 (8) (2012)
Koen W. De Bock, Dirk Van den Poel
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction. Expert Syst. Appl. 38 (10) (2011)
Koen W. De Bock, Kristof Coussement, Dirk Van den Poel
Ensemble classification based on generalized additive models. Comput. Stat. Data Anal. 54 (6) (2010)
Koen W. De Bock, Dirk Van den Poel
Predicting Website Audience Demographics forWeb Advertising Targeting Using Multi-Website Clickstream Data. Fundam. Informaticae 98 (1) (2010)
Koen W. De Bock, Dirk Van den Poel
Ensembles of Probability Estimation Trees for Customer Churn Prediction. IEA/AIE (2) (2010)