2 citations · 4 across the 14 of their papers we have counts for
3 papers · 1 filter
Bayesian learning of feature spaces for multitasks problems
Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo +1
This paper introduces a novel approach for multi-task regression that connects Kernel Machines (KMs) and Extreme Learning Machines (ELMs) through the exploitation of the Random Fou…
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo +1
Purpose: Handling heterogeneous and mixed data types has become increasingly critical with the exponential growth in real-world databases. While deep generative models attempt to m…
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos +2
Machine learning techniques typically applied to dementia forecasting lack in their capabilities to jointly learn several tasks, handle time dependent heterogeneous data and missin…