Francisco Fernández-Navarro

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 20

Top Topics

Ordinal Regression

Extreme Learning Machine

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Expert Syst. Appl.

Publications

Antonio Manuel Durán-Rosal, Aggeo Durán-Fernández, Francisco Fernández-Navarro, Mariano Carbonero-Ruz
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks. Appl. Soft Comput. 133 (2023)
Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Thomas Ashley
Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework. Expert Syst. Appl. 229 (Part A) (2023)
Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz
Negative Correlation Hidden Layer for the Extreme Learning Machine. Appl. Soft Comput. 109 (2021)
Luisa Martínez-Nieto, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Teresa Montero-Romero
An experimental study on diversification in portfolio optimization. Expert Syst. Appl. 181 (2021)
Annalisa Riccardi, Jessica Gemignani, Francisco Fernández-Navarro, Anna Heffernan
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 5 (1) (2021)
Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, David Becerra-Alonso, Francisco Fernández-Navarro
Negative correlation learning in the extreme learning machine framework. Neural Comput. Appl. 32 (17) (2020)
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
Regularized ensemble neural networks models in the Extreme Learning Machine framework. Neurocomputing 361 (2019)
María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, Athanasia Nikolaou, Francisco Fernández-Navarro, César Hervás-Martínez
On the use of evolutionary time series analysis for segmenting paleoclimate data. Neurocomputing (2019)
Elena Barberà, Jingjing Zhang, Cristina Galván-Fernández, Francisco Fernández-Navarro
Learner support in MOOCs: Identifying variables linked to completion. Comput. Educ. 122 (2018)
Jose Javier Pérez-Barea, Francisco Fernández-Navarro, Maria Jose Montero-Simó, Rafael Araque-Padilla
A socially responsible consumption index based on non-linear dimensionality reduction and global sensitivity analysis. Appl. Soft Comput. 69 (2018)
Francisco Fernández-Navarro, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez, Adiel Castaño, César Hervás-Martínez
Time series forecasting by recurrent product unit neural networks. Neural Comput. Appl. 29 (3) (2018)
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles. HAIS (2018)
Francisco Fernández-Navarro, Mariano Carbonero-Ruz, David Becerra-Alonso, Mercedes Torres-Jiménez
Global Sensitivity Estimates for Neural Network Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Francisco Fernández-Navarro
A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression. Neural Process. Lett. 46 (1) (2017)
Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Francisco Fernández-Navarro, David Becerra-Alonso, Alfonso C. Martínez-Estudillo
A two dimensional accuracy-based measure for classification performance. Inf. Sci. (2017)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez
Ordinal Regression Methods: Survey and Experimental Study. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Pilar Gómez-Rey, Francisco Fernández-Navarro, Elena Barberà
Ordinal regression by a gravitational model in the field of educational data mining. Expert Syst. J. Knowl. Eng. 33 (2) (2016)
Adiel Castaño, Francisco Fernández-Navarro, Annalisa Riccardi, César Hervás-Martínez
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. Neural Comput. Appl. 27 (6) (2016)
Pilar Gómez-Rey, Elena Barberà, Francisco Fernández-Navarro
The Impact of Cultural Dimensions on Online Learning. J. Educ. Technol. Soc. 19 (4) (2016)
Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni
Ordinal Regression by a Generalized Force-Based Model. IEEE Trans. Cybern. 45 (4) (2015)
Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine. IEEE Trans. Cybern. 44 (10) (2014)
Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni
Ordinal Neural Networks Without Iterative Tuning. IEEE Trans. Neural Networks Learn. Syst. 25 (11) (2014)
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. HAIS (2014)
Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. Neural Process. Lett. 37 (3) (2013)
M. Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. Expert Syst. Appl. 40 (5) (2013)
María Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. Neurocomputing 109 (2013)
Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
Negative Correlation Ensemble Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 24 (11) (2013)
Francisco Fernández-Navarro, Pilar Campoy-Muñoz, Monica-de la Paz-Marin, César Hervás-Martínez, Xin Yao
Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach. IEEE Trans. Cybern. 43 (6) (2013)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
Generalised Gaussian radial basis function neural networks. Soft Comput. 17 (3) (2013)
Adiel Castaño, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. Expert Syst. Appl. 39 (9) (2012)
Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
An Experimental Study of Different Ordinal Regression Methods and Measures. HAIS (2) (2012)
Francisco Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) (2012)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Francisca López-Granados
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification. Neurocomputing 75 (1) (2012)
Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. 12 (6) (2012)
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)
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)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
A dynamic over-sampling procedure based on sensitivity for multi-class problems. Pattern Recognit. 44 (8) (2011)
Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez
Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. Neural Process. Lett. 34 (2) (2011)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz
Evolutionary q-Gaussian radial basis function neural networks for multiclassification. Neural Networks 24 (7) (2011)
Francisco Fernández-Navarro, César Hervás-Martínez, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, Antonio Valero
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. Appl. Soft Comput. 11 (3) (2011)
Adiel Castaño Méndez, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Manuel Baena-García, César Hervás-Martínez
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. SOCO (2011)
Francisco Fernández-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. Neurocomputing 74 (16) (2011)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, César Hervás-Martínez
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. Neural Process. Lett. 34 (2) (2011)
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)
Francisco Fernández-Navarro, César Hervás-Martínez, Carlos R. García-Alonso, Mercedes Torres-Jiménez
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. Expert Syst. Appl. 38 (10) (2011)
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) (2010)
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)
Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, María Matilda García, Pedro Antonio Gutiérrez
Classification by evolutionary generalised radial basis functions. Int. J. Hybrid Intell. Syst. 7 (4) (2010)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme
-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) (2010)
Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, María Teresa Lamata
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA (2010)
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)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz
-Gaussian Radial Basis Functions for Binary-Classification. HAIS (2) (2010)
Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, A. Sanchis, José Antonio Portilla-Figueras, Francisco Fernández-Navarro, César Hervás-Martínez
Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises. IEA/AIE (3) (2010)
Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. IWINAC (1) (2009)
Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, María Matilda García
Classification by Evolutionary Generalized Radial Basis Functions. ISDA (2009)
Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. ISDA (2009)