Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review. - Ivo Pascal de Jong; Andreea Ioana Sburlea; Matias Valdenegro-Toro (CoRR, 2023)

Uncertainty Quantification for cross-subject Motor Imagery classification. - Prithviraj Manivannan; Ivo Pascal de Jong; Matias Valdenegro-Toro; Andreea Ioana Sburlea (CoRR, 2024)

Transferring BCI models from calibration to control: Observing shifts in EEG features. - Ivo Pascal de Jong; Lüke Luna van den Wittenboer; Matias Valdenegro-Toro; Andreea Ioana Sburlea (CoRR, 2024)

Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. - Matias Valdenegro-Toro; Ivo Pascal de Jong; Marco Zullich (CoRR, 2024)

How disentangled are your classification uncertainties? - Ivo Pascal de Jong; Andreea Ioana Sburlea; Matias Valdenegro-Toro (CoRR, 2024)

Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models. - Mirko Borszukovszki; Ivo Pascal de Jong; Matias Valdenegro-Toro (CoRR, 2025)

Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning. - Joris Suurmeijer; Ivo Pascal de Jong; Matias Valdenegro-Toro; Andreea Ioana Sburlea (CoRR, 2025)