Koen W. De Bock

23 papers Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploring Zero-Shot SLM ensembles as an alternative to LLMs for sentiment analysis.
Inf. Fusion
Davy Cielen, Koen W. De Bock, Laurent Florès
2025 J jnl
Ensemble learning for operations research and business analytics.
Ann. Oper. Res.
Koen W. De Bock, Matthias Bogaert, Philippe du Jardin
2025 J jnl
Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble classification.
Eur. J. Oper. Res.
Zhenkun Liu, Koen W. De Bock, Lifang Zhang
2024 — conf
Coupling Neural Networks Between Clusters for Better Personalized Care.
HICSS
Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
2024 J jnl
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.
Eur. J. Oper. Res.
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
2024 J jnl
Explainable Analytics for Operational Research.
Eur. J. Oper. Res.
Koen W. De Bock, Kristof Coussement, Arno De Caigny
2024 J jnl
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks.
Ann. Oper. Res.
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
2024 J jnl
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis.
Decis. Support Syst.
Arno De Caigny, Koen W. De Bock, Sam Verboven
2022 J jnl
A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer.
Ann. Oper. Res.
Kristof Coussement, Koen W. De Bock, Stijn Geuens
2021 J jnl
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling.
Decis. Support Syst.
Koen W. De Bock, Arno De Caigny
2021 J jnl
Targeting customers for profit: An ensemble learning framework to support marketing decision-making.
Inf. Sci.
Stefan Lessmann, Johannes Haupt, Kristof Coussement, Koen W. De Bock
2020 J jnl
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach.
Eur. J. Oper. Res.
Koen W. De Bock, Kristof Coussement, Stefan Lessmann
2020 J jnl
Leveraging fine-grained transaction data for customer life event predictions.
Decis. Support Syst.
Arno De Caigny, Kristof Coussement, Koen W. De Bock
2019 J jnl
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis.
CoRR
C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
2018 J jnl
A framework for configuring collaborative filtering-based recommendations derived from purchase data.
Eur. J. Oper. Res.
Stijn Geuens, Kristof Coussement, Koen W. De Bock
2018 J jnl
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees.
Eur. J. Oper. Res.
Arno De Caigny, Kristof Coussement, Koen W. De Bock
2017 J jnl
The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles.
Expert Syst. Appl.
Koen W. De Bock
2015 — conf
Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection.
ECIS
Annika Baumann, Stefan Lessmann, Kristof Coussement, Koen W. De Bock
2012 J jnl
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models.
Expert Syst. Appl.
Koen W. De Bock, Dirk Van den Poel
2011 J jnl
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction.
Expert Syst. Appl.
Koen W. De Bock, Dirk Van den Poel
2010 J jnl
Ensemble classification based on generalized additive models.
Comput. Stat. Data Anal.
Koen W. De Bock, Kristof Coussement, Dirk Van den Poel
2010 — conf
Ensembles of Probability Estimation Trees for Customer Churn Prediction.
IEA/AIE (2)
Koen W. De Bock, Dirk Van den Poel
2010 J jnl
Predicting Website Audience Demographics forWeb Advertising Targeting Using Multi-Website Clickstream Data.
Fundam. Informaticae
Koen W. De Bock, Dirk Van den Poel