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 | 13 | 2021 |
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment T Verhelst, D Mercier, J Shrestha, G Bontempi Machine Learning, 1-25, 2023 | 2 | 2023 |
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 | 2 | 2021 |
Churn Prediction and Causal Analysis on Telecom Customer Data T Verhelst Université Libre de Bruxelles, 2019 | 2 | 2019 |
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 |
Uplift vs. predictive modeling: a theoretical analysis T Verhelst, R Petit, W Verbeke, G Bontempi arXiv preprint arXiv:2309.12036, 2023 | 1 | 2023 |
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 | 1 | 2019 |
Predictive and causal modeling of customer churn: lessons learned from empirical and theoretical research T Verhelst Université Libre de Bruxelles, 2024 | | 2024 |