Arno De Caigny

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Churn Prediction

Domain Adaptation

Transaction Data

Top Venues

Decis. Support Syst.

Eur. J. Oper. Res.

Publications

Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny, Luis Fernando Pérez, Stefan Creemers
Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks. Int. J. Prod. Res. 62 (6) (2024)
Khaoula Idbenjra, Kristof Coussement, Arno De Caigny
Investigating the beneficial impact of segmentation-based modelling for credit scoring. Decis. Support Syst. 179 (2024)
Philipp Borchert, Kristof Coussement, Jochen De Weerdt, Arno De Caigny
Industry-sensitive language modeling for business. Eur. J. Oper. Res. 315 (2) (2024)
Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
Coupling Neural Networks Between Clusters for Better Personalized Care. HICSS (2024)
Arno De Caigny, Koen W. De Bock, Sam Verboven
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis. Decis. Support Syst. 181 (2024)
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
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. Ann. Oper. Res. 339 (1-2) (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny
Explainable Analytics for Operational Research. Eur. J. Oper. Res. 317 (2) (2024)
Minh Phan, Arno De Caigny, Kristof Coussement
A decision support framework to incorporate textual data for early student dropout prediction in higher education. Decis. Support Syst. 168 (2023)
Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt
Extending business failure prediction models with textual website content using deep learning. Eur. J. Oper. Res. 306 (1) (2023)
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. CoRR (2023)
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP (2023)
Koen W. De Bock, Arno De Caigny
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling. Decis. Support Syst. 150 (2021)
Kristof Coussement, Minh Phan, Arno De Caigny, Dries F. Benoit, Annelies Raes
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. Decis. Support Syst. 135 (2020)
Arno De Caigny, Kristof Coussement, Koen W. De Bock
Leveraging fine-grained transaction data for customer life event predictions. Decis. Support Syst. 130 (2020)
Arno De Caigny
Innovation in customer scoring for the financial services industry. 4OR 18 (3) (2020)
C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. CoRR (2019)
Arno De Caigny, Kristof Coussement, Koen W. De Bock
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. Eur. J. Oper. Res. 269 (2) (2018)