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Arno De Caigny
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2020 – today
- 2024
- [j15]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): 765-787 (2024) - [j14]Khaoula Idbenjra, Kristof Coussement, Arno De Caigny:
Investigating the beneficial impact of segmentation-based modelling for credit scoring. Decis. Support Syst. 179: 114170 (2024) - [j13]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: 114217 (2024) - [j12]Stephanie Beyer Díaz
Improved decision-making through life event prediction: A case study in the financial services industry. Decis. Support Syst. 187: 114342 (2024) - [j11]Philipp Borchert
Industry-sensitive language modeling for business. Eur. J. Oper. Res. 315(2): 691-702 (2024) - [j10]Koen W. De Bock, Kristof Coussement, Arno De Caigny:
Explainable Analytics for Operational Research. Eur. J. Oper. Res. 317(2): 243-248 (2024) - [j9]Koen W. De Bock
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317(2): 249-272 (2024) - [j8]Stephanie Beyer Díaz
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): 2158-2175 (2024) - [c2]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: 3627-3636 - 2023
- [j7]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: 113940 (2023) - [j6]Philipp Borchert
Extending business failure prediction models with textual website content using deep learning. Eur. J. Oper. Res. 306(1): 348-357 (2023) - [c1]Philipp Borchert
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023: 11792-11806 - [i2]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 abs/2310.12024 (2023) - 2021
- [j5]Koen W. De Bock, Arno De Caigny
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling. Decis. Support Syst. 150: 113523 (2021) - 2020
- [j4]Arno De Caigny
Innovation in customer scoring for the financial services industry. 4OR 18(3): 381-382 (2020) - [j3]Arno De Caigny
Leveraging fine-grained transaction data for customer life event predictions. Decis. Support Syst. 130: 113232 (2020) - [j2]Kristof Coussement
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. Decis. Support Syst. 135: 113325 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1909.11114 (2019) - 2018
- [j1]Arno De Caigny
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. Eur. J. Oper. Res. 269(2): 760-772 (2018)
Coauthor Index
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