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ORCIDCarlos Sevilla-Salcedo
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Journal Articles
- 2024
[j7]Vandad Imani
, Carlos Sevilla-Salcedo, Elaheh Moradi, Vittorio Fortino, Jussi Tohka:
Multi-objective genetic algorithm for multi-view feature selection. Appl. Soft Comput. 167: 112332 (2024)- [j6]Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández:
Bayesian learning of feature spaces for multitask regression. Neural Networks 179: 106619 (2024) - 2023
- [j5]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:
Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. Eng. Appl. Artif. Intell. 118: 105644 (2023) - 2022
- [j4]Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka:
Multi-task longitudinal forecasting with missing values on Alzheimer's disease. Comput. Methods Programs Biomed. 226: 107056 (2022) - [j3]Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo:
Bayesian sparse factor analysis with kernelized observations. Neurocomputing 490: 66-78 (2022) - 2021
- [j2]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognit. 120: 108141 (2021) - 2020
- [j1]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka:
Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. Neuroinformatics 18(4): 641-659 (2020)
Conference and Workshop Papers
- 2024
- [c1]Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka:
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. ACR 2024: 392-403
Informal and Other Publications
- 2024
- [i8]Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka:
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. CoRR abs/2401.06546 (2024) - [i7]Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo:
The Relevance Feature and Vector Machine for health applications. CoRR abs/2402.07079 (2024) - 2023
- [i6]Vandad Imani, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka:
Multi-Objective Genetic Algorithm for Multi-View Feature Selection. CoRR abs/2305.18352 (2023) - 2022
- [i5]Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka:
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. CoRR abs/2201.05040 (2022) - [i4]Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. CoRR abs/2207.09185 (2022) - [i3]Carlos Sevilla-Salcedo, Ascensión Gallardo-Antolín, Vanessa Gómez-Verdejo, Emilio Parrado-Hernández:
Bayesian learning of feature spaces for multitasks problems. CoRR abs/2209.03028 (2022) - 2020
- [i2]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. CoRR abs/2001.08975 (2020) - [i1]Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo:
Bayesian Sparse Factor Analysis with Kernelized Observations. CoRR abs/2006.00968 (2020)
Coauthor Index
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