| A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees A De Caigny, K Coussement, KW De Bock European Journal of Operational Research 269 (2), 760-772, 2018 | 619 | 2018 |
| Incorporating textual information in customer churn prediction models based on a convolutional neural network A De Caigny, K Coussement, KW De Bock, S Lessmann International Journal of Forecasting 36 (4), 1563-1578, 2020 | 162 | 2020 |
| Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model K Coussement, M Phan, A De Caigny, DF Benoit, A Raes Decision Support Systems 135, 113325, 2020 | 155 | 2020 |
| Explainable AI for operational research: A defining framework, methods, applications, and a research agenda KW De Bock, K Coussement, A De Caigny, R Słowiński, B Baesens, ... European Journal of Operational Research 317 (2), 249-272, 2024 | 58 | 2024 |
| Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach A De Caigny, K Coussement, W Verbeke, K Idbenjra, M Phan Industrial Marketing Management 99, 28-39, 2021 | 53 | 2021 |
| Extending business failure prediction models with textual website content using deep learning P Borchert, K Coussement, A De Caigny, J De Weerdt European Journal of Operational Research 306 (1), 348-357, 2023 | 50 | 2023 |
| Churn prediction with sequential data and deep neural networks. a comparative analysis CG Mena, A De Caigny, K Coussement, KW De Bock, S Lessmann arXiv preprint arXiv:1909.11114, 2019 | 48 | 2019 |
| Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling KW De Bock, A De Caigny Decision Support Systems 150, 113523, 2021 | 42 | 2021 |
| Leveraging fine-grained transaction data for customer life event predictions A De Caigny, K Coussement, KW De Bock Decision Support Systems 130, 113232, 2020 | 32 | 2020 |
| Exploiting time-varying RFM measures for customer churn prediction with deep neural networks G Mena, K Coussement, KW De Bock, A De Caigny, S Lessmann Annals of Operations Research 339 (1), 765-787, 2024 | 26 | 2024 |
| A decision support framework to incorporate textual data for early student dropout prediction in higher education M Phan, A De Caigny, K Coussement Decision Support Systems 168, 113940, 2023 | 23 | 2023 |
| Does it pay off to communicate like your online community? Evaluating the effect of content and linguistic style similarity on B2B brand engagement M Meire, K Coussement, A De Caigny, S Hoornaert Industrial Marketing Management 106, 292-307, 2022 | 16 | 2022 |
| Hybrid black-box classification for customer churn prediction with segmented interpretability analysis A De Caigny, KW De Bock, S Verboven Decision Support Systems 181, 114217, 2024 | 7 | 2024 |
| Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks S Beyer Díaz, K Coussement, A De Caigny, LF Pérez, S Creemers International Journal of Production Research 62 (6), 2158-2175, 2024 | 7 | 2024 |
| Investigating the beneficial impact of segmentation-based modelling for credit scoring K Idbenjra, K Coussement, A De Caigny Decision Support Systems 179, 114170, 2024 | 5 | 2024 |
| Industry-sensitive language modeling for business P Borchert, K Coussement, J De Weerdt, A De Caigny European Journal of Operational Research 315 (2), 691-702, 2024 | 4 | 2024 |
| Incorporating usage data for B2B churn prediction modeling JS Ramirez, K Coussement, A De Caigny, DF Benoit, E Guliyev Industrial Marketing Management 120, 191-205, 2024 | 3 | 2024 |
| Customer Lifetime Value Modeling with Applications in Python and R: Lessons and Experiences from Industry and Research on how to Become a Customer-Centric B Baesens, A De Caigny HAL Post-Print, 2022 | 3 | 2022 |
| CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation P Borchert, J De Weerdt, K Coussement, A De Caigny, MF Moens arXiv preprint arXiv:2310.12024, 2023 | 2 | 2023 |
| Explainable analytics for operational research K De Bock, K Coussement, A De Caigny HAL Post-Print, 2024 | 1 | 2024 |
Kristof CoussementIESEG School of ManagementZweryfikowany adres z ieseg.fr
