Francisco Fernández-Navarro

59 papers C 4Misc 2Journal 42Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing financial time series forecasting through topological data analysis.
Neural Comput. Appl.
Luiz Carlos de Jesus Jr., Francisco Fernández-Navarro, Mariano Carbonero-Ruz
2025 J jnl
Global and Diverse Ensemble model for regression.
Neurocomputing
Antonio Manuel Durán-Rosal, Thomas Ian Ashley, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
2023 J jnl
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks.
Appl. Soft Comput.
Antonio Manuel Durán-Rosal, Aggeo Durán-Fernández, Francisco Fernández-Navarro, Mariano Carbonero-Ruz
2023 J jnl
Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework.
Expert Syst. Appl.
Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Thomas Ian Ashley
2022 J jnl
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.
IEEE Trans. Neural Networks Learn. Syst.
Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez
2021 J jnl
An experimental study on diversification in portfolio optimization.
Expert Syst. Appl.
Luisa Martínez-Nieto, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Teresa Montero-Romero
2021 J jnl
Negative Correlation Hidden Layer for the Extreme Learning Machine.
Appl. Soft Comput.
Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz
2021 J jnl
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Annalisa Riccardi, Jessica Gemignani, Francisco Fernández-Navarro, Anna Heffernan
2020 J jnl
Negative correlation learning in the extreme learning machine framework.
Neural Comput. Appl.
Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, David Becerra-Alonso, Francisco Fernández-Navarro
2019 J jnl
On the use of evolutionary time series analysis for segmenting paleoclimate data.
Neurocomputing
María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, Athanasia Nikolaou, Francisco Fernández-Navarro, César Hervás-Martínez
2019 J jnl
Regularized ensemble neural networks models in the Extreme Learning Machine framework.
Neurocomputing
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
2018 Misc conf
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles.
HAIS
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro
2018 J jnl
A socially responsible consumption index based on non-linear dimensionality reduction and global sensitivity analysis.
Appl. Soft Comput.
Jose Javier Pérez-Barea, Francisco Fernández-Navarro, Maria Jose Montero-Simó, Rafael Araque-Padilla
2018 J jnl
Learner support in MOOCs: Identifying variables linked to completion.
Comput. Educ.
Elena Barberà, Jingjing Zhang, Cristina Galván-Fernández, Francisco Fernández-Navarro
2018 J jnl
Time series forecasting by recurrent product unit neural networks.
Neural Comput. Appl.
Francisco Fernández-Navarro, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez, Adiel Castaño, César Hervás-Martínez
2017 J jnl
A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression.
Neural Process. Lett.
Francisco Fernández-Navarro
2017 J jnl
A two dimensional accuracy-based measure for classification performance.
Inf. Sci.
Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Francisco Fernández-Navarro, David Becerra-Alonso, Alfonso C. Martínez-Estudillo
2017 J jnl
Global Sensitivity Estimates for Neural Network Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Fernández-Navarro, Mariano Carbonero-Ruz, David Becerra-Alonso, Mercedes Torres-Jiménez
2016 J jnl
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis.
Neural Comput. Appl.
Adiel Castaño, Francisco Fernández-Navarro, Annalisa Riccardi, César Hervás-Martínez
2016 J jnl
Ordinal Regression Methods: Survey and Experimental Study.
IEEE Trans. Knowl. Data Eng.
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez
2016 J jnl
Ordinal regression by a gravitational model in the field of educational data mining.
Expert Syst. J. Knowl. Eng.
Pilar Gómez-Rey, Francisco Fernández-Navarro, Elena Barberà
2016 J jnl
The Impact of Cultural Dimensions on Online Learning.
J. Educ. Technol. Soc.
Pilar Gómez-Rey, Elena Barberà, Francisco Fernández-Navarro
2015 J jnl
Ordinal Regression by a Generalized Force-Based Model.
IEEE Trans. Cybern.
Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni
2014 J jnl
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine.
IEEE Trans. Cybern.
Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni
2014 J jnl
Ordinal Neural Networks Without Iterative Tuning.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni
2014 Misc conf
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
HAIS
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro
2013 J jnl
Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach.
IEEE Trans. Cybern.
Francisco Fernández-Navarro, Pilar Campoy-Muñoz, Monica-de la Paz-Marin, César Hervás-Martínez, Xin Yao
2013 J jnl
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles.
Neurocomputing
María Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez
2013 J jnl
Generalised Gaussian radial basis function neural networks.
Soft Comput.
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
2013 J jnl
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks.
Expert Syst. Appl.
M. Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez
2013 J jnl
Negative Correlation Ensemble Learning for Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
2013 J jnl
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis.
Neural Process. Lett.
Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez
2012 — conf
An Experimental Study of Different Ordinal Regression Methods and Measures.
HAIS (2)
Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
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
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection.
Appl. Soft Comput.
Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme
2012 — conf
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.
HAIS (2)
Francisco Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
2012 J jnl
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification.
Neurocomputing
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Francisca López-Granados
2012 J jnl
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods.
Expert Syst. Appl.
Adiel Castaño, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez
2011 J jnl
A dynamic over-sampling procedure based on sensitivity for multi-class problems.
Pattern Recognit.
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
2011 — conf
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification.
SOCO
Adiel Castaño Méndez, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Manuel Baena-García, César Hervás-Martínez
2011 J jnl
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity.
Expert Syst. Appl.
Francisco Fernández-Navarro, César Hervás-Martínez, Carlos R. García-Alonso, Mercedes Torres-Jiménez
2011 J jnl
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus.
Appl. Soft Comput.
Francisco Fernández-Navarro, César Hervás-Martínez, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, Antonio Valero
2011 J jnl
Evolutionary q-Gaussian radial basis function neural networks for multiclassification.
Neural Networks
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz
2011 J jnl
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks.
Neurocomputing
Francisco Fernández-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
2011 — conf
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients.
GECCO (Companion)
Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez
2011 J jnl
Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem.
Neural Process. Lett.
Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, 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
2011 J jnl
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers.
Neural Process. Lett.
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, César Hervás-Martínez
2010 J jnl
Classification by evolutionary generalised radial basis functions.
Int. J. Hybrid Intell. Syst.
Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, María Matilda García, Pedro Antonio Gutiérrez
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
Evolutionary
HAIS (2)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz
2010 — conf
Evolutionary
ICANN (1)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme
2010 — conf
Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises.
IEA/AIE (3)
Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, A. Sanchis, José Antonio Portilla-Figueras, Francisco Fernández-Navarro, César Hervás-Martínez
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 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 C conf
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks.
ISDA
Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez
2009 C conf
Classification by Evolutionary Generalized Radial Basis Functions.
ISDA
Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, María Matilda García