Arno De Caigny

According to our database, Arno De Caigny authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Integrating e-commerce and social media metrics in prescriptive multichannel retail store efficiency analysis: A case study in do-it-yourself retailing.

Koen W. De Bock, Kristof Coussement, Arno De Caigny, Cristina Ciobanu

Inf. Manag., 2026

A decision support framework for estimating the impact of covariate shift in machine learning systems.

Matthijs Meire, Steven Hoornaert, Arno De Caigny, Kristof Coussement

Decis. Support Syst., 2026

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., March, 2025

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

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., August, 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., March, 2024

Industry-sensitive language modeling for business.

Philipp Borchert, Kristof Coussement, Jochen De Weerdt, 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, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber

Eur. J. Oper. Res., 2024

Explainable Analytics for Operational Research.

Koen W. De Bock, Kristof Coussement, Arno De Caigny

Eur. J. Oper. Res., 2024

Investigating the beneficial impact of segmentation-based modelling for credit scoring.

Khaoula Idbenjra, Kristof Coussement, Arno De Caigny

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

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

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

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

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., May, 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

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

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

Koen W. De Bock, Arno De Caigny

Decis. Support Syst., 2021

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

Leveraging fine-grained transaction data for customer life event predictions.

Arno De Caigny, Kristof Coussement, Koen W. De Bock

Decis. Support Syst., 2020

Innovation in customer scoring for the financial services industry.

Arno De Caigny

4OR, 2020

2019

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

2018

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