| Fraud analytics: A decade of research: Organizing challenges and solutions in the field C Bockel-Rickermann, T Verdonck, W Verbeke Expert Systems with Applications 232, 120605, 2023 | 14 | 2023 |
| Can causal machine learning reveal individual bid responses of bank customers?—A study on mortgage loan applications in Belgium C Bockel-Rickermann, S Verboven, T Verdonck, W Verbeke Decision Support Systems, 114378, 2024 | 1* | 2024 |
| Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation C Bockel-Rickermann, T Vanderschueren, T Verdonck, W Verbeke arXiv preprint arXiv:2406.08206, 2024 | 1 | 2024 |
| Learning continuous-valued treatment effects through representation balancing C Bockel-Rickermann, T Vanderschueren, J Berrevoets, T Verdonck, ... arXiv preprint arXiv:2309.03731, 2023 | 1 | 2023 |
| Uplift modeling with continuous treatments: A predict-then-optimize approach S De Vos, C Bockel-Rickermann, S Lessmann, W Verbeke arXiv preprint arXiv:2412.09232, 2024 | | 2024 |
| Essays on machine learning for business decision-making C Bockel-Rickermann Faculty of Economics and Business (FEB), KU Leuven, 2024 | | 2024 |
| Predicting Employee Turnover: Scoping and Benchmarking the State-of-the-Art S De Vos, C Bockel-Rickermann, J Van Belle, W Verbeke Business & Information Systems Engineering, 1-20, 2024 | | 2024 |
| Credit Risk Through a Causal Lens: How Understanding Discretionary Drivers of Risk Could Improve Credit Operations C Bockel-Rickermann, T Verdonck, W Verbeke Credit Scoring and Credit Control (CSCC) XVIII, Date: 2023/08/30-2023/09/01 …, 2023 | | 2023 |
| Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100 C Bockel-Rickermann arXiv preprint arXiv:2205.15853, 2022 | | 2022 |
Wouter VerbekeProfessor of Decision Science, KU Leuven, Faculty of Economics and Business確認したメール アドレス: kuleuven.be