Ivo Pascal de Jong

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Riemannian Geometry-Preserving Variational Autoencoder for MI-BCI Data Augmentation. CoRR Viktorija Polaka, Ivo Pascal de Jong, Andreea Ioana Sburlea
2026	J	`jnl`	The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs. CoRR Merlijn Quincent Mulder, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Ivo Pascal de Jong
2026	J	`jnl`	Why Large Language Models can Secretly Outperform Embedding Similarity in Information Retrieval. CoRR Matei Benescu, Ivo Pascal de Jong
2025	J	`jnl`	Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models. CoRR Mirko Borszukovszki, Ivo Pascal de Jong, Matias Valdenegro-Toro
2025	J	`jnl`	NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty. CoRR Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Malvina Nissim, Hedderik van Rijn
2025	—	`conf`	Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning. MLSP Joris Suurmeijer, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2025	J	`jnl`	Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning. CoRR Joris Suurmeijer, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2024	J	`jnl`	How disentangled are your classification uncertainties? CoRR Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro
2024	J	`jnl`	Transferring BCI models from calibration to control: Observing shifts in EEG features. CoRR Ivo Pascal de Jong, Lüke Luna van den Wittenboer, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2024	J	`jnl`	Uncertainty Quantification for cross-subject Motor Imagery classification. CoRR Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2024	J	`jnl`	Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. CoRR Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich
2023	J	`jnl`	Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review. CoRR Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro