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authIdHal_s : koen-w-de-bock

An Overview of Multiple Classifier Systems Based on Generalized Additive Models

Koen W. de Bock , Kristof Coussement , Davy Cielen
Esteban Alfaro; Matías Gámez; Noelia García. Ensemble Classification Methods with Applications in R, Wiley, pp.175-197, 2018, 978-1-119-42109-2
Book sections hal-01921681v1
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Targeting customers for profit: An ensemble learning framework to support marketing decision-making

Stefan Lessmann , Kristof Coussement , Koen W. de Bock , Johannes Haupt
Information Sciences, 2019, ⟨10.1016/j.ins.2019.05.027⟩
Journal articles hal-02275955v1
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Incorporating textual information in customer churn prediction models based on a convolutional neural network

Arno de Caigny , Kristof Coussement , Koen W. de Bock , Stefan Lessmann
International Journal of Forecasting, 2019, ⟨10.1016/j.ijforecast.2019.03.029⟩
Journal articles hal-02275958v1

A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer

K. Coussement , Koen W. de Bock , S. Geuens
Annals of Operations Research, 2022, 315 (2), pp.671-694. ⟨10.1007/s10479-021-03979-4⟩
Journal articles hal-03765630v1
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Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Koen W. de Bock , Arno de Caigny
Decision Support Systems, 2021, 150, pp.113523. ⟨10.1016/j.dss.2021.113523⟩
Journal articles hal-03391564v1
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Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

Koen W. de Bock , Kristof Coussement , Stefan Lessmann
European Journal of Operational Research, 2020, 285 (2), pp.612-630. ⟨10.1016/j.ejor.2020.01.052⟩
Journal articles hal-02863245v1