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 (Eur. J. Oper. Res., 2018)

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. - C. Gary Mena; Arno De Caigny; Kristof Coussement; Koen W. De Bock; Stefan Lessmann (CoRR, 2019)

Innovation in customer scoring for the financial services industry. - Arno De Caigny (4OR, 2020)

Leveraging fine-grained transaction data for customer life event predictions. - Arno De Caigny; Kristof Coussement; Koen W. De Bock (Decis. Support Syst., 2020)

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. - Kristof Coussement; Minh Phan; Arno De Caigny; Dries F. Benoit; Annelies Raes (Decis. Support Syst., 2020)

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling. - Koen W. De Bock; Arno De Caigny (Decis. Support Syst., 2021)

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. - Philipp Borchert; Jochen De Weerdt; Kristof Coussement; Arno De Caigny; Marie-Francine Moens (EMNLP, 2023)

Extending business failure prediction models with textual website content using deep learning. - Philipp Borchert; Kristof Coussement; Arno De Caigny; Jochen De Weerdt (Eur. J. Oper. Res., 2023)

A decision support framework to incorporate textual data for early student dropout prediction in higher education. - Minh Phan; Arno De Caigny; Kristof Coussement (Decis. Support Syst., 2023)

Coupling Neural Networks Between Clusters for Better Personalized Care. - Mathias Kraus; Nico Hambauer; Kristina Müller; Pavlina Kröckel; Nalika Ulapane; Arno De Caigny; Koen W. De Bock; Kristof Coussement (HICSS, 2024)

Hybrid black-box classification for customer churn prediction with segmented interpretability analysis. - Arno De Caigny; Koen W. De Bock; Sam Verboven (Decis. Support Syst., 2024)

Improved decision-making through life event prediction: A case study in the financial services industry. - Stephanie Beyer Díaz; Kristof Coussement; Arno De Caigny (Decis. Support Syst., 2024)

Investigating the beneficial impact of segmentation-based modelling for credit scoring. - Khaoula Idbenjra; Kristof Coussement; Arno De Caigny (Decis. Support Syst., 2024)

Explainable Analytics for Operational Research. - Koen W. De Bock; Kristof Coussement; Arno De Caigny (Eur. J. Oper. Res., 2024)

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. - 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; et al. (Eur. J. Oper. Res., 2024)

Industry-sensitive language modeling for business. - Philipp Borchert; Kristof Coussement; Jochen De Weerdt; Arno De Caigny (Eur. J. Oper. Res., 2024)

Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks. - Stephanie Beyer Díaz; Kristof Coussement; Arno De Caigny; Luis Fernando Pérez; Stefan Creemers (Int. J. Prod. Res., 2024)

Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. - C. Gary Mena; Kristof Coussement; Koen W. De Bock; Arno De Caigny; Stefan Lessmann (Ann. Oper. Res., 2024)

From collaborative filtering to deep learning: Advancing recommender systems with longitudinal data in the financial services industry. - Stephanie Beyer Díaz; Kristof Coussement; Arno De Caigny (Eur. J. Oper. Res., 2025)

Investigating the impact of undersampling and bagging: an empirical investigation for customer attrition modeling. - Arno De Caigny; Kristof Coussement; Matthijs Meire; Steven Hoornaert (Ann. Oper. Res., 2025)