Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. - Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Jussi Tohka (Neuroinformatics, 2020)

Sparse semi-supervised heterogeneous interbattery bayesian analysis. - Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Pablo M. Olmos (Pattern Recognit., 2021)

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)

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. - Alejandro Guerrero-López; Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Pablo M. Olmos (CoRR, 2022)

Bayesian learning of feature spaces for multitasks problems. - Carlos Sevilla-Salcedo; Ascensión Gallardo-Antolín; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (CoRR, 2022)

Bayesian sparse factor analysis with kernelized observations. - Carlos Sevilla-Salcedo; Alejandro Guerrero-López; Pablo M. Olmos; Vanessa Gómez-Verdejo (Neurocomputing, 2022)

Multi-Objective Genetic Algorithm for Multi-View Feature Selection. - Vandad Imani; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (CoRR, 2023)

Automatic antibiotic resistance prediction in Klebsiella pneumoniae 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)

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. - Vandad Imani; Elaheh Moradi; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (ACR, 2024)

Multi-objective genetic algorithm for multi-view feature selection. - Vandad Imani; Carlos Sevilla-Salcedo; Elaheh Moradi; Vittorio Fortino; Jussi Tohka (Appl. Soft Comput., 2024)

The Relevance Feature and Vector Machine for health applications. - Albert Belenguer-Llorens; Carlos Sevilla-Salcedo; Emilio Parrado-Hernández; Vanessa Gómez-Verdejo (CoRR, 2024)

Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification. - Albert Belenguer-Llorens; Carlos Sevilla-Salcedo; Jussi Tohka; Vanessa Gómez-Verdejo (CoRR, 2024)

Bayesian learning of feature spaces for multitask regression. - Carlos Sevilla-Salcedo; Ascensión Gallardo-Antolín; Vanessa Gómez-Verdejo; Emilio Parrado-Hernández (Neural Networks, 2024)

Virtual Laboratories: Domain-agnostic workflows for research. - Carlos Sevilla-Salcedo; Armi Tiihonen; Mahsa Asadi; Kevin Sebastian Luck; Aras Umut Erarslan; Arto Klami; Samuel Kaski (CoRR, 2025)

Latent Representations of Intracardiac Electrograms for Atrial Fibrillation Driver Detection. - Pablo Peiro-Corbacho; Long Lin; Pablo Ávila; Alejandro Carta-Bergaz; Angel Arenal; Carlos Sevilla-Salcedo; Gonzalo Rios-Muñoz (CoRR, 2025)

Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. - Mario Blázquez-Sánchez; Alejandro Guerrero-López; Ana Candela; Albert Belenguer-Llorens; José Miguel Moreno; Carlos Sevilla-Salcedo; María Sánchez-Cueto; Manuel J. Arroyo; Mark Gutiérrez-Pareja; Vanessa Gómez-Verdejo; Pablo M. Olmos; Luis Mancera; et al. (BMC Bioinform., 2025)