Juan Carlos Fernández

36 papers B 3C 6Misc 2Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
dlordinal: A Python package for deep ordinal classification.
Neurocomputing
Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas Yun, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2024 J jnl
Fusion of standard and ordinal dropout techniques to regularise deep models.
Inf. Fusion
Francisco Bérchez-Moreno, Juan Carlos Fernández, César Hervás-Martínez, Pedro Antonio Gutiérrez
2024 J jnl
dlordinal: a Python package for deep ordinal classification.
CoRR
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2023 J jnl
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction.
Appl. Soft Comput.
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Juan Carlos Fernández
2022 — conf
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
CISIS-ICEUTE
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández
2020 J jnl
Prediction of convective clouds formation using evolutionary neural computation techniques.
Neural Comput. Appl.
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
2019 J jnl
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks.
Appl. Intell.
Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018 J jnl
Efficient fog prediction with multi-objective evolutionary neural networks.
Appl. Soft Comput.
Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez
2018 J jnl
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms.
Neural Comput. Appl.
Juan Carlos Fernández, Manuel Cruz-Ramírez, César Hervás-Martínez
2016 — conf
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments.
SSCI
Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez
2015 — conf
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model.
IWANN (2)
Pedro Antonio Gutiérrez, Juan Carlos Fernández, María Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz, César Hervás-Martínez
2015 J jnl
Significant wave height and energy flux range forecast with machine learning classifiers.
Eng. Appl. Artif. Intell.
Juan Carlos Fernández, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Enrique Alexandre, César Hervás-Martínez
2013 J jnl
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks.
Artif. Intell. Medicine
Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata
2012 — conf
Approaching System Administration as a Group Project in Computer Engineering Higher Education.
CISIS/ICEUTE/SOCO Special Sessions
Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro
2012 J jnl
Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants.
Eur. J. Oper. Res.
Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata
2012 — conf
Multiobjective Pareto Ordinal Classification for Predictive Microbiology.
SOCO
Manuel Cruz-Ramírez, Juan Carlos Fernández, Antonio Valero, Pedro Antonio Gutiérrez, César Hervás-Martínez
2011 J jnl
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology.
Appl. Soft Comput.
Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
2011 — conf
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front.
SDE
Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
2010 C conf
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers.
ISDA
Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Teresa Lamata
2010 — conf
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology.
IEA/AIE (3)
Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez
2010 B conf
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions.
IJCNN
Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero
2010 J jnl
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evol. Intell.
Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez
2010 C conf
On the suitability of Extreme Learning Machine for gene classification using feature selection.
ISDA
Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez
2009 — conf
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms.
IWINAC (1)
Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández
2009 J jnl
Combined projection and kernel basis functions for classification in evolutionary neural networks.
Neurocomputing
Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández
2009 C conf
Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient.
ISDA
Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez, Manuel Cruz
2009 Misc conf
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture.
HAIS
Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, Francisca López-Granados
2009 C conf
Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction.
ISDA
César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Sancho Salcedo-Sanz, Antonio Portilla-Figueras, Ángel M. Pérez-Bellido, Luis Prieto
2009 J jnl
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput.
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
2009 Misc conf
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity.
HAIS
Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz
2009 B conf
MultiLogistic Regression using Initial and Radial Basis Function covariates.
IJCNN
Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández
2008 — ch.
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks.
Innovations in Hybrid Intelligent Systems
Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, Juan Carlos Fernández
2008 B conf
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems.
IEEE Congress on Evolutionary Computation
Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández
2008 C conf
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data.
HIS
Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán
2008 C conf
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes.
HIS
Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez
2007 — conf
Evolutionary Combining of Basis Function Neural Networks for Classification.
IWINAC (1)
César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández