Wouter Verbeke
Katholieke Universiteit Leuven
H-index: 29
Europe-Belgium
Top articles of Wouter Verbeke
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Data-driven internal mobility: Similarity regularization gets the job done | Knowledge-Based Systems | Simon De Vos Johannes De Smedt Marijke Verbruggen Wouter Verbeke | 2024/4/25 |
Network analytics for insurance fraud detection: a critical case study | European Actuarial Journal | Bruno Deprez Felix Vandervorst Wouter Verbeke Tim Verdonck Bart Baesens | 2024/4/9 |
A new perspective on classification: optimally allocating limited resources to uncertain tasks | Decision Support Systems | Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke | 2024/4/1 |
Claims fraud detection with uncertain labels | Advances in Data Analysis and Classification | Félix Vandervorst Wouter Verbeke Tim Verdonck | 2023/11/30 |
Timing Process Interventions with Causal Inference and Reinforcement Learning | arXiv preprint arXiv:2306.04299 | Hans Weytjens Wouter Verbeke Jochen De Weerdt | 2023/6/7 |
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions | arXiv preprint arXiv:2309.03730 | Christopher Bockel-Rickermann Sam Verboven Tim Verdonck Wouter Verbeke | 2023/9/7 |
Understanding Deep Learning for LoS prediction via Latent space visualization | Authorea Preprints | Lyse Naomi Wamba Vincent Scheltjens Frank Rademakers Wouter Verbeke Bart De Moor | 2023/10/31 |
A review and experimental evaluation of the state-of-the-art in text classification | Manon Reusens Alexander Stevens Jonathan Tonglet Johannes De Smedt Wouter Verbeke | 2023/5/25 | |
NOFLITE: Learning to Predict Individual Treatment Effect Distributions | Transactions on Machine Learning Research (TMLR) | Toon Vanderschueren Jeroen Berrevoets Wouter Verbeke | 2023/7/23 |
Explainable AI for operational research: A defining framework, methods, applications, and a research agenda | Koen W De Bock Kristof Coussement Arno De Caigny Roman Slowiński Bart Baesens | 2023/9/22 | |
Reducing Forecast Instability with Global Deep Learning Models. | Foresight: The International Journal of Applied Forecasting | Jente Van Belle Ruben Crevits Wouter Verbeke | 2023/4/1 |
Accounting for informative sampling when learning to forecast treatment outcomes over time | International Conference on Machine Learning (ICML) 2023 | Toon Vanderschueren* Alicia Curth* Wouter Verbeke Mihaela van der Schaar | 2023/6/7 |
Uplift vs. predictive modeling: a theoretical analysis | arXiv preprint arXiv:2309.12036 | Théo Verhelst Robin Petit Wouter Verbeke Gianluca Bontempi | 2023/9/21 |
Fraud analytics:: A decade of research | Christopher Bockel-Rickermann Tim Verdonck Wouter Verbeke | 2023/12/1 | |
Optimizing the preventive maintenance frequency with causal machine learning | International Journal of Production Economics | Toon Vanderschueren Robert Boute Tim Verdonck Bart Baesens Wouter Verbeke | 2023/4/1 |
Improving forecast stability using deep learning | International Journal of Forecasting | Jente Van Belle Ruben Crevits Wouter Verbeke | 2023/7/1 |
Timed Process Interventions: Causal Inference vs. Reinforcement Learning | Hans Weytjens Wouter Verbeke Jochen De Weerdt | 2023/9/11 | |
Robust instance-dependent cost-sensitive classification | Advances in Data Analysis and Classification | Simon De Vos Toon Vanderschueren Tim Verdonck Wouter Verbeke | 2023/12 |
Hydalearn: Highly dynamic task weighting for multitask learning with auxiliary tasks | Applied Intelligence | Sam Verboven Muhammad Hafeez Chaudhary Jeroen Berrevoets Vincent Ginis Wouter Verbeke | 2023/3 |
Fraud analytics: A decade of research organizing challenges and solutions in the field | Christopher Bockel-Rickermann Tim Verdonck Wouter Verbeke | 2023/6/14 |
Co-Authors
