Toon Vanderschueren
Toon Vanderschueren
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Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies
T Vanderschueren, T Verdonck, B Baesens, W Verbeke
Information Sciences 594, 400-415, 2022
Optimizing the preventive maintenance frequency with causal machine learning
T Vanderschueren, R Boute, T Verdonck, B Baesens, W Verbeke
International Journal of Production Economics 258, 108798, 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
T Vanderschueren, A Curth, W Verbeke, M van der Schaar
Proceedings of the 40th International Conference on Machine Learning 202, 2023
A new perspective on classification: Optimally allocating limited resources to uncertain tasks
T Vanderschueren, B Baesens, T Verdonck, W Verbeke
Decision Support Systems 179, 114151, 2024
Learning continuous-valued treatment effects through representation balancing
C Bockel-Rickermann, T Vanderschueren, J Berrevoets, T Verdonck, ...
arXiv preprint arXiv:2309.03731, 2023
NOFLITE: Learning to Predict Individual Treatment Effect Distributions
T Vanderschueren, J Berrevoets, W Verbeke
Transactions on Machine Learning Research, 2023
Robust instance-dependent cost-sensitive classification
S De Vos, T Vanderschueren, T Verdonck, W Verbeke
Advances in Data Analysis and Classification, 1-23, 2023
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