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Théo Verhelst
Théo Verhelst
PhD student, Université Libre de Bruxelles
Verified email at ulb.be - Homepage
Title
Cited by
Cited by
Year
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
132021
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
22023
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
22021
Churn Prediction and Causal Analysis on Telecom Customer Data
T Verhelst
Université Libre de Bruxelles, 2019
22019
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
12023
Uplift vs. predictive modeling: a theoretical analysis
T Verhelst, R Petit, W Verbeke, G Bontempi
arXiv preprint arXiv:2309.12036, 2023
12023
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
12019
Predictive and causal modeling of customer churn: lessons learned from empirical and theoretical research
T Verhelst
Université Libre de Bruxelles, 2024
2024
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