Arno De Caigny

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Leveraging fine-grained transaction data for customer life event predictions

Arno De Caigny, Kristof Coussement, Koen W. De Bock, 2020, Decis. Support Syst..

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis pdf

Stefan Lessmann, Arno De Caigny, Kristof Coussement, 2019, ArXiv.

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model

Annelies Raes, Arno De Caigny, Kristof Coussement, 2020, Decis. Support Syst..

Incorporating textual information in customer churn prediction models based on a convolutional neural network

Stefan Lessmann, Arno De Caigny, Kristof Coussement, 2019 .

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, 2018, Eur. J. Oper. Res..

Innovation in customer scoring for the financial services industry

Arno De Caigny, 2020, 4OR.

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Arno De Caigny, Koen W. De Bock, 2021, Decis. Support Syst..

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Arno De Caigny, Koen W. De Bock, Arno De Caigny, 2021, Decis. Support Syst..

A decision support framework to incorporate textual data for early student dropout prediction in higher education

Arno De Caigny, K. Coussement, Kristof Coussement, 2023, Decis. Support Syst..

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

Arno De Caigny, Koen W. De Bock, D. Delen, 2023, European Journal of Operational Research.

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

Arno De Caigny, K. D. Bock, Sam Verboven, 2024, Decision Support Systems.