Toon Vanderschueren

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Misclassification Costs

Machine Learning

Limited Resources

Probability Estimation

Top Venues

Decis. Support Syst.

Publications

Christopher Bockel-Rickermann, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation. CoRR (2024)
Toon Vanderschueren, Wouter Verbeke, Felipe Moraes, Hugo Manuel Proença
Metalearners for Ranking Treatment Effects. CoRR (2024)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: Optimally allocating limited resources to uncertain tasks. Decis. Support Syst. 179 (2024)
Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation. CoRR (2024)
Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke
Robust instance-dependent cost-sensitive classification. Adv. Data Anal. Classif. 17 (4) (2023)
Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. ICML (2023)
Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke
Learning continuous-valued treatment effects through representation balancing. CoRR (2023)
Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. CoRR (2023)
Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke
NOFLITE: Learning to Predict Individual Treatment Effect Distributions. Trans. Mach. Learn. Res. 2023 (2023)
Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf. Sci. 594 (2022)
Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
Instance-dependent cost-sensitive learning: do we really need it? HICSS (2022)
Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
Prescriptive maintenance with causal machine learning. CoRR (2022)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: optimally allocating limited resources to uncertain tasks. CoRR (2022)