Very happy to announce our new Leuven.AI story: Minimizing fraud losses using cost-sensitive machine learning and learning to rank.

This blog post gives a high level introduction to some of the work I’ve done in fraud detection. It’s related to the following papers:

• Vanderschueren, T., Verdonck, T., Baesens, B., & Verbeke, W. (2022). Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Information Sciences, 594, 400-415. https://doi.org/10.1016/j.ins.2022.02.021
• Vanderschueren, T., Baesens, B., Verdonck, T., & Verbeke, W. (2022). A new perspective on classification: optimally allocating limited resources to uncertain tasks. arXiv preprint arXiv:2202.04369.