Juan Carlos Fernandez (ORCID 0000-0001-8849-6036)
Juan Carlos Fernandez (ORCID 0000-0001-8849-6036)
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Cited by
Cited by
KEEL: a software tool to assess evolutionary algorithms for data mining problems
J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ...
Soft Computing 13, 307-318, 2009
Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks
JC Fernández, FJ Martínez, C Hervás, PA Gutiérrez
IEEE Transactions on Neural Networks 21 (5), 750-770, 2010
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks
M Cruz-Ramirez, C Hervas-Martinez, JC Fernandez, J Briceno, ...
Artificial intelligence in medicine 58 (1), 37-49, 2013
Significant wave height and energy flux range forecast with machine learning classifiers
JC Fernández, S Salcedo-Sanz, PA Gutiérrez, E Alexandre, ...
Engineering Applications of Artificial Intelligence 43, 44-53, 2015
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
CR García-Alonso, LM Pérez-Naranjo, JC Fernández-Caballero
Annals of operations research 219, 187-202, 2014
Combined projection and kernel basis functions for classification in evolutionary neural networks
PA Gutiérrez, C Hervás, M Carbonero, JC Fernández
Neurocomputing 72 (13-15), 2731-2742, 2009
Multi-objective evolutionary algorithm for donor–recipient decision system in liver transplants
M Cruz-Ramı, C Hervás-Martı, JC Fernández, J Briceńo, M de la Mata
European Journal of Operational Research 222 (2), 317-327, 2012
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology
JC Fernández, C Hervás, FJ Martínez-Estudillo, PA Gutiérrez
Applied soft computing 11 (1), 534-550, 2011
Efficient fog prediction with multi-objective evolutionary neural networks
AM Durán-Rosal, JC Fernández, C Casanova-Mateo, J Sanz-Justo, ...
Applied Soft Computing 70, 347-358, 2018
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
M Cruz-Ramírez, J Sánchez-Monedero, F Fernández-Navarro, ...
Evolutionary intelligence 3, 187-199, 2010
Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm
S Jiménez-Fernández, C Camacho-Gómez, R Mallol-Poyato, ...
Sustainability 11 (1), 169, 2019
Memetic Pareto differential evolution for designing artificial neural networks in multiclassification problems using cross-entropy versus sensitivity
JC Fernández, C Hervás, FJ Martínez, PA Gutiérrez, M Cruz
Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009
On the suitability of Extreme Learning Machine for gene classification using feature selection
J Sánchez-Monedero, M Cruz-Ramírez, F Fernández-Navarro, ...
2010 10th International Conference on Intelligent Systems Design and …, 2010
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems
FJ Martinez-Estudillo, PA Gutiérrez, C Hervás, JC Fernández
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
Detection and prediction of segments containing extreme significant wave heights
AM Durán-Rosal, JC Fernández, PA Gutiérrez, C Hervás-Martínez
Ocean Engineering 142, 268-279, 2017
Building suitable datasets for soft computing and machine learning techniques from meteorological data integration: A case study for predicting significant wave height and …
AM Gómez-Orellana, JC Fernández, M Dorado-Moreno, PA Gutiérrez, ...
Energies 14 (2), 468, 2021
Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks
JC Fernández, M Carbonero, PA Gutiérrez, C Hervás-Martínez
Applied Intelligence, 2019
Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction
C Hervás-Martínez, PA Gutiérrez, JC Fernández, S Salcedo-Sanz, ...
2009 Ninth International Conference on Intelligent Systems Design and …, 2009
Sensitivity versus accuracy in ensemble models of artificial neural networks from multi-objective evolutionary algorithms
JC Fernández, M Cruz-Ramirez, C Hervás-Martínez
Neural Computing and Applications 30, 289-305, 2018
Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals
A Rivero-Juárez, D Guijo-Rubio, F Tellez, R Palacios, D Merino, J Macías, ...
Plos one 15 (1), e0227188, 2020
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