Arno De Caigny

22 papers A* 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A decision support framework for estimating the impact of covariate shift in machine learning systems.
Decis. Support Syst.
Matthijs Meire, Steven Hoornaert, Arno De Caigny, Kristof Coussement
2025 J jnl
From collaborative filtering to deep learning: Advancing recommender systems with longitudinal data in the financial services industry.
Eur. J. Oper. Res.
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny
2025 J jnl
Investigating the impact of undersampling and bagging: an empirical investigation for customer attrition modeling.
Ann. Oper. Res.
Arno De Caigny, Kristof Coussement, Matthijs Meire, Steven Hoornaert
2024 — conf
Coupling Neural Networks Between Clusters for Better Personalized Care.
HICSS
Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
2024 J jnl
Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks.
Int. J. Prod. Res.
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny, Luis Fernando Pérez, Stefan Creemers
2024 J jnl
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.
Eur. J. Oper. Res.
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
2024 J jnl
Explainable Analytics for Operational Research.
Eur. J. Oper. Res.
Koen W. De Bock, Kristof Coussement, Arno De Caigny
2024 J jnl
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks.
Ann. Oper. Res.
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
2024 J jnl
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis.
Decis. Support Syst.
Arno De Caigny, Koen W. De Bock, Sam Verboven
2024 J jnl
Improved decision-making through life event prediction: A case study in the financial services industry.
Decis. Support Syst.
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny
2024 J jnl
Industry-sensitive language modeling for business.
Eur. J. Oper. Res.
Philipp Borchert, Kristof Coussement, Jochen De Weerdt, Arno De Caigny
2024 J jnl
Investigating the beneficial impact of segmentation-based modelling for credit scoring.
Decis. Support Syst.
Khaoula Idbenjra, Kristof Coussement, Arno De Caigny
2023 J jnl
A decision support framework to incorporate textual data for early student dropout prediction in higher education.
Decis. Support Syst.
Minh Phan, Arno De Caigny, Kristof Coussement
2023 A* conf
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.
EMNLP
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
2023 J jnl
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.
CoRR
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
2023 J jnl
Extending business failure prediction models with textual website content using deep learning.
Eur. J. Oper. Res.
Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt
2021 J jnl
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling.
Decis. Support Syst.
Koen W. De Bock, Arno De Caigny
2020 J jnl
Innovation in customer scoring for the financial services industry.
4OR
Arno De Caigny
2020 J jnl
Leveraging fine-grained transaction data for customer life event predictions.
Decis. Support Syst.
Arno De Caigny, Kristof Coussement, Koen W. De Bock
2020 J jnl
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model.
Decis. Support Syst.
Kristof Coussement, Minh Phan, Arno De Caigny, Dries F. Benoit, Annelies Raes
2019 J jnl
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis.
CoRR
C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
2018 J jnl
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees.
Eur. J. Oper. Res.
Arno De Caigny, Kristof Coussement, Koen W. De Bock