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Juan Carlos Fernández 0001

Juan Carlos Fernández Caballero

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affiliation: University of Córdoba, Department of Computer Science and Numerical Analysis, Spain

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Journal Articles

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2024
[j15]
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Francisco Bérchez-Moreno, Juan Carlos Fernández, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Fusion of standard and ordinal dropout techniques to regularise deep models. Inf. Fusion 106: 102299 (2024)
2023
[j14]
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David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Juan Carlos Fernández:
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. Appl. Soft Comput. 146: 110647 (2023)
2020
[j13]
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David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio M. Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez:
Prediction of convective clouds formation using evolutionary neural computation techniques. Neural Comput. Appl. 32(17): 13917-13929 (2020)
2019
[j12]
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Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. Appl. Intell. 49(9): 3447-3463 (2019)
2018
[j11]
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Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez:
Efficient fog prediction with multi-objective evolutionary neural networks. Appl. Soft Comput. 70: 347-358 (2018)
[j10]
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Juan Carlos Fernández, Manuel Cruz-Ramírez, César Hervás-Martínez:
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms. Neural Comput. Appl. 30(1): 289-305 (2018)
2015
[j9]
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Juan Carlos Fernández, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Enrique Alexandre, César Hervás-Martínez:
Significant wave height and energy flux range forecast with machine learning classifiers. Eng. Appl. Artif. Intell. 43: 44-53 (2015)
2014
[j8]
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Carlos R. García-Alonso, Leonor M. Pérez-Naranjo, Juan Carlos Fernández Caballero:
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms. Ann. Oper. Res. 219(1): 187-202 (2014)
2013
[j7]
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Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata:
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. Artif. Intell. Medicine 58(1): 37-49 (2013)
2012
[j6]
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Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata:
Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants. Eur. J. Oper. Res. 222(2): 317-327 (2012)
2011
[j5]
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Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. 11(1): 534-550 (2011)
2010
[j4]
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Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez:
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evol. Intell. 3(3-4): 187-199 (2010)
[j3]
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Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez:
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. IEEE Trans. Neural Networks 21(5): 750-770 (2010)
2009
[j2]
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Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández:
Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing 72(13-15): 2731-2742 (2009)
[j1]
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Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera:
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009)

Conference and Workshop Papers

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2022
[c23]
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Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández:
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE 2022: 224-235
2016
[c22]
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Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments. SSCI 2016: 1-8
2015
[c21]
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  - conf/iwann/GutierrezFPCASH15
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Pedro Antonio Gutiérrez, Juan Carlos Fernández, María Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz, César Hervás-Martínez:
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model. IWANN (2) 2015: 92-102
2013
[c20]
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María Pérez-Ortiz, Rosa Colmenarejo, Juan Carlos Fernández Caballero, César Hervás-Martínez:
Can Machine Learning Techniques Help to Improve the Common Fisheries Policy? IWANN (2) 2013: 278-286
2012
[c19]
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M. Pérez-Ortiz, Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, César Hervás-Martínez:
Hybrid Multi-objective Machine Learning Classification in Liver Transplantation. HAIS (1) 2012: 397-408
[c18]
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Manuel Cruz-Ramírez, Juan Carlos Fernández, Antonio Valero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Multiobjective Pareto Ordinal Classification for Predictive Microbiology. SOCO 2012: 153-162
[c17]
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Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro:
Approaching System Administration as a Group Project in Computer Engineering Higher Education. CISIS/ICEUTE/SOCO Special Sessions 2012: 331-340
2011
[c16]
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Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez:
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. GECCO (Companion) 2011: 479-486
[c15]
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Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez:
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. SDE 2011: 96-103
2010
[c14]
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Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez:
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. IEA/AIE (3) 2010: 646-655
[c13]
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Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero:
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. IJCNN 2010: 1-8
[c12]
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Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez:
On the suitability of Extreme Learning Machine for gene classification using feature selection. ISDA 2010: 507-512
[c11]
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Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Teresa Lamata:
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA 2010: 513-518
2009
[c10]
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Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, Francisca López-Granados:
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture. HAIS 2009: 244-251
[c9]
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Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz:
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. HAIS 2009: 433-441
[c8]
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Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández:
MultiLogistic Regression using Initial and Radial Basis Function covariates. IJCNN 2009: 1067-1074
[c7]
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César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Sancho Salcedo-Sanz, Antonio Portilla-Figueras, Ángel M. Pérez-Bellido, Luis Prieto:
Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. ISDA 2009: 193-198
[c6]
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Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez, Manuel Cruz:
Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient. ISDA 2009: 408-413
[c5]
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Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández:
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. IWINAC (1) 2009: 245-254
2008
[c4]
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  - conf/cec/Martinez-EstudilloGHF08
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Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández:
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation 2008: 1581-1588
[c3]
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Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán:
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. HIS 2008: 625-630
[c2]
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Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez:
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. HIS 2008: 631-636
2007
[c1]
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César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández:
Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) 2007: 447-456

Parts in Books or Collections

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2008
[p1]
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Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, Juan Carlos Fernández:
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. Innovations in Hybrid Intelligent Systems 2008: 88-95

Informal and Other Publications

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2024
[i1]
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Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez:
dlordinal: a Python package for deep ordinal classification. CoRR abs/2407.17163 (2024)

Coauthor Index

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