Carlos Sevilla-Salcedo

According to our database, Carlos Sevilla-Salcedo authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Relevance Feature and Vector Machine for health applications.

Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo

CoRR, 2024

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach.

Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka

CoRR, 2024

2023

Automatic antibiotic resistance prediction in <i>Klebsiella pneumoniae</i> based on MALDI-TOF mass spectra.

Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Ana Candela, Marta Hernández-García, Emilia Cercenado, Pablo M. Olmos, Rafael Cantón, Patricia Muñoz, Vanessa Gómez-Verdejo, Rosa del Campo, Belén Rodríguez-Sánchez

Eng. Appl. Artif. Intell., 2023

Multi-Objective Genetic Algorithm for Multi-View Feature Selection.

Vandad Imani, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka

CoRR, 2023

2022

Bayesian sparse factor analysis with kernelized observations.

Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo

Neurocomputing, 2022

Bayesian learning of feature spaces for multitasks problems.

Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández

CoRR, 2022

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space.

Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos

CoRR, 2022

Multi-task longitudinal forecasting with missing values on Alzheimer's disease.

Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka

Comput. Methods Programs Biomed., 2022

2021

Sparse semi-supervised heterogeneous interbattery bayesian analysis.

Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos

Pattern Recognit., 2021

2020

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging.

Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka

Neuroinformatics, 2020