27 citations · 27 across the 5 of their papers we have counts for
5 papers
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…
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization
Gabriel D. Uribe-Guerra, Danny A. Múnera-Ramírez, Julián D. Arias-Londoño
The design of food diets in the context of animal nutrition is a complex problem that aims to develop cost-effective formulations while balancing minimum nutritional content. Tradi…
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…