Recherche - Archive ouverte HAL Accéder directement au contenu

Filtrer vos résultats

15 résultats
Page :
triés par
Image document

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⟩
Article dans une revue hal-02275958v1

Exploiting time-varying RFM measures for customer churn prediction with deep neural networks

 Gary Mena , Kristof Coussement , Koen W. de Bock , Arno de Caigny , Stefan Lessmann
Annals of Operations Research, In press
Article dans une revue hal-04027550v1
Image document

Hybrid black-box classification for customer churn prediction with segmented interpretability analysis

 Arno de Caigny , K. de Bock , S. Verboven
Decision Support Systems, 2024, 181, ⟨10.1016/j.dss.2024.114217⟩
Article dans une revue hal-04549058v1
Image document

Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction

 Zhenkun Liu , Ping Jiang , Koen W. de Bock , Jianzhou Wang , Lifang Zhang , et al.
Technological Forecasting and Social Change, 2024, 198 (January 2024), pp.122945. ⟨10.1016/j.techfore.2023.122945⟩
Article dans une revue hal-04273578v1
Image document

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⟩
Article dans une revue hal-03391564v1
Image document

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⟩
Article dans une revue hal-02863245v1
Image document

The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles

 Koen W. de Bock
Expert Systems with Applications, 2017, 90, pp.23 - 39. ⟨10.1016/j.eswa.2017.07.036⟩
Article dans une revue hal-01588059v1
Image document

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

 Koen W. de Bock , Kristof Coussement , Arno De Caigny , Roman Slowiński , Bart Baesens , et al.
European Journal of Operational Research, 2023, ⟨10.1016/j.ejor.2023.09.026⟩
Article dans une revue hal-04219546v1

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⟩
Article dans une revue hal-03765630v1

Editorial: Explainable Analytics for Operational Research

 K. de Bock , K. Coussement , A. de Caigny
European Journal of Operational Research, 2024
Article dans une revue hal-04549059v1
Image document

The role of embodiment, experience, and self-image expression in creating continuance intention in the metaverse

 Y. K. Dwivedi , J. Balakrishnan , A. Mishra , K. de Bock , A. S. Al-Busaidi
Technological Forecasting and Social Change, 2024, 203, ⟨10.1016/j.techfore.2024.123402⟩
Article dans une revue hal-04549057v1

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

 Arno de Caigny , Kristof Coussement , Koen W. de Bock
European Journal of Operational Research, 2018, ⟨10.1016/j.ejor.2018.02.009⟩
Article dans une revue hal-01741661v1

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
Chapitre d'ouvrage hal-01921681v1

A framework for configuring collaborative filtering-based recommendations derived from purchase data

 Stijn Geuens , Kristof Coussement , Koen W. de Bock
European Journal of Operational Research, 2018, 265 (1), pp.208 - 218. ⟨10.1016/j.ejor.2017.07.005⟩
Article dans une revue hal-01662029v1
Image document

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⟩
Article dans une revue hal-02275955v1
Page :