Toon Vanderschueren

According to our database, Toon Vanderschueren authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A new perspective on classification: Optimally allocating limited resources to uncertain tasks.

Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke

Decis. Support Syst., 2024

Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation.

Christopher Bockel-Rickermann, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke

CoRR, 2024

Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation.

Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke

CoRR, 2024

Metalearners for Ranking Treatment Effects.

Toon Vanderschueren, Wouter Verbeke, Felipe Moraes, Hugo Manuel Proença

CoRR, 2024

2023

Robust instance-dependent cost-sensitive classification.

Simon De Vos, Toon Vanderschueren, Tim Verdonck, Wouter Verbeke

Adv. Data Anal. Classif., December, 2023

NOFLITE: Learning to Predict Individual Treatment Effect Distributions.

Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke

Trans. Mach. Learn. Res., 2023

Learning continuous-valued treatment effects through representation balancing.

Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke

CoRR, 2023

Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time.

Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

2022

Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies.

Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke

Inf. Sci., 2022

Prescriptive maintenance with causal machine learning.

Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke

CoRR, 2022

Instance-dependent cost-sensitive learning: do we really need it?

Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022