27 citations · 46 across the 11 of their papers we have counts for
12 papers
Word Lengthening as a Function of Utterance Position: A Multi-Corpus Study
Mateo Cámara, José Luis Blanco, Juan Ignacio Godino-Llorente +2
Efficient turn-taking requires interlocutors to predict turn endings within a few hundred milliseconds. Beyond syntactic and pragmatic completion, prosody (especially pre-boundary…
Acoustic Landmark Detector based on Conformer and HuBERT
Mateo Cámara, José Luis Blanco, Juan Ignacio Godino-Llorente +2
Acoustic landmarks (abrupt acoustic changes tied to speech events) offer a linguistically grounded representation for speech analysis. We study automatic landmark detection with Co…
An Acoustic Landmark Database of the English Lexicon via Articulatory Synthesis
Mateo Cámara, José Luis Blanco, Juan Ignacio Godino-Llorente +2
Acoustic landmark theory treats speech as organized around the acoustic consequences of articulatory gestures that shape the vocal tract and airflow. Progress is limited by the sca…
The Whale That Outswam Evolution: Swarm Intelligence Maximises Memory in Connectome Reservoirs
Anmol Guragain, Savvas Kakalis, Juan Ignacio Godino-Llorente
Reservoir computing exploits the fixed dynamics of a recurrent network for temporal processing, requiring only a trained linear readout. Biological neural connectomes, shaped by mi…
Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis
Hua Xu, Julián D. Arias-Londoño, Juan I. Godino-Llorente
In critical decision support systems based on medical imaging, the reliability of AI-assisted decision-making is as relevant as predictive accuracy. Although deep learning models h…
Automatic Screening of Parkinson's Disease from Visual Explorations
Maria F. Alcala-Durand, J. Camilo Puerta-Acevedo, Julián D. Arias-Londoño +1
Eye movements can reveal early signs of neurodegeneration, including those associated with Parkinson's Disease (PD). This work investigates the utility of a set of gaze-based featu…
Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach
Mehdi Bejani, Guillermo Perez-de-Arenaza-Pozo, Julián D. Arias-Londoño +1
Missing data is a relevant issue in time series, especially in biomedical sequences such as those corresponding to smooth pursuit eye movements, which often contain gaps due to eye…
Radar Network for Gait Monitoring: Technology and Validation
Ignacio E. López-Delgado, Víctor Navarro-López, Francisco Grandas-Pérez +2
In recent years, radar-based devices have emerged as an alternative approach for gait monitoring. However, the radar configuration and the algorithms used to extract the gait param…
GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation
G. Andrade-Miranda, K. Chatzipapas, J. D. Arias-Londoño +1
The advances in the development of Facilitative Playbacks extracted from High-Speed videoendoscopic sequences of the vocal folds are hindered by a notable lack of publicly availabl…
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Janaína Mendes-Laureano, Jorge A. Gómez-García, Alejandro Guerrero-López +4
The screening of Parkinson's Disease (PD) through speech is hindered by a notable lack of publicly available datasets in different languages. This fact limits the reproducibility a…
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach
Julian D. Arias-Londoño, Jorge A. Gomez-Garcia, Laureano Moro-Velazquez +1
Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims…
Entropies from Markov Models as Complexity Measures of Embedded Attractors
Julián D. Arias-Londoño, Juan I. Godino-Llorente
This paper addresses the problem of measuring complexity from embedded attractors as a way to characterize changes in the dynamical behaviour of different types of systems by obser…