| Transfer learning strategies for credit card fraud detection B Lebichot, T Verhelst, YA Le Borgne, L He-Guelton, F Oble, G Bontempi IEEE access 9, 114754-114766, 2021 | 24 | 2021 |
| Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference T Verhelst, O Caelen, JC Dewitte, B Lebichot, G Bontempi Artificial Intelligence and Machine Learning: 31st Benelux AI Conference …, 2019 | 9 | 2019 |
| Uplift vs. predictive modeling: a theoretical analysis T Verhelst, R Petit, W Verbeke, G Bontempi arXiv preprint arXiv:2309.12036, 2023 | 6 | 2023 |
| Churn Prediction and Causal Analysis on Telecom Customer Data T Verhelst Université Libre de Bruxelles, 2019 | 4 | 2019 |
| Predicting reach to find persuadable customers: Improving uplift models for churn prevention T Verhelst, J Shrestha, D Mercier, JC Dewitte, G Bontempi Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 3 | 2021 |
| Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment T Verhelst, D Mercier, J Shrestha, G Bontempi Machine Learning 113 (3), 1043-1067, 2024 | 2 | 2024 |
| A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling T Verhelst, D Mercier, J Shrestha, G Bontempi arXiv preprint arXiv:2312.07206, 2023 | 1 | 2023 |
| Predictive and causal modeling of customer churn: lessons learned from empirical and theoretical research T Verhelst Université Libre de Bruxelles, 2024 | | 2024 |
Gianluca BontempiFull professor, Machine Learning Group, Université Libre de BruxellesVerified email at ulb.ac.be
