Author

P. A. Pérez-Toro

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Preprint Aug 2026

PANDA - Prototype-Anchored Alignment for Partially Unpaired Multimodal Learning, with Applications to Alzheimers MRI and TCGA Pathology

Multimodal medical prediction often faces incomplete pairing: auxiliary modalities with complementary signal are available for only a subset of subjects (or none) and cannot be assumed at deployment. We introduce PANDA (Prototype Anchored Data Alignment), a two-stage framework that transfers auxiliary information to a...

Sheethal Bhat, Mahfuzur Rahman Chowdhury, P. A. Pérez-Toro et al. · 0 citations

Preprint Aug 2026

Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classification

Real-time MRI makes it possible to observe vocal-tract articulation during speech, but mapping these articulatory patterns to phonetic and phonological categories remains challenging. We investigate whether PhonoQ, an audio-based model trained to recognize structured phonological features, provides useful information f...

Abner Hernandez, Tomás Arias Vergara, Dai-Qi Liu et al. · 0 citations

Preprint Aug 2026

Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection

A layer-wise analysis of nine SSL speech backbones using a low-capacity logistic regression probe reveals that the transferred discriminative signal lacks pathological specificity, highlighting critical limitations that must be addressed before speech-based pathology recognition models can be reliably deployed in clini...

Serli Kopar, Sam Gijsen, Abner Hernandez et al. · 0 citations

Open access Aug 2026

A standardized framework for machine learning in power system protection

A standardization-oriented framework that turns evaluation assumptions into explicit, reproducible evidence and provides a basis for more comparable, auditable evaluation and future certification-oriented assessment of machine-learning protection functions is proposed.

Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro et al. · International Journal of Ele... · 0 citations

#artificial intelligence Preprint Aug 2026

Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis

This paper investigates how multilingual medical adaptation reshapes the internal representations of Whisper models through layer-wise encoder analysis, and shows that English medical fine-tuning produces the dominant encoder shift, whereas multilingual continuation largely preserves the adapted representation space.

Souranil Kahali, Rituparna Bose, Abner Hernandez et al. · 0 citations