Classification by Evolutionary Generalized Radial Basis Functions. - Adiel Castaño; César Hervás-Martínez; Pedro Antonio Gutiérrez; Francisco Fernández-Navarro; María Matilda García (ISDA, 2009)

A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. - Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2009)

A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. - Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez; Juan Carlos Fernández 001 (IWINAC (1), 2009)

Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Mariano Carbonero-Ruz (HAIS (2), 2010)

Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Roberto Ruiz; José C. Riquelme (ICANN (1), 2010)

Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. - Manuel Cruz-Ramírez; Javier Sánchez-Monedero; Francisco Fernández-Navarro; Juan Carlos Fernández 001; César Hervás-Martínez (IEA/AIE (3), 2010)

Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises. - Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; María Jesús Segovia-Vargas; A. Sanchis; José Antonio Portilla-Figueras; Francisco Fernández-Navarro; César Hervás-Martínez (IEA/AIE (3), 2010)

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; M. Teresa Lamata (ISDA, 2010)

On the suitability of Extreme Learning Machine for gene classification using feature selection. - Javier Sánchez-Monedero; Manuel Cruz-Ramírez; Francisco Fernández-Navarro; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2010)

Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. - Manuel Cruz-Ramírez; Javier Sánchez-Monedero; Francisco Fernández-Navarro; Juan Carlos Fernández 001; César Hervás-Martínez (Evol. Intell., 2010)

Classification by evolutionary generalised radial basis functions. - Adiel Castaño; Francisco Fernández-Navarro; César Hervás-Martínez; María Matilda García; Pedro Antonio Gutiérrez (Int. J. Hybrid Intell. Syst., 2010)

Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. - Manuel Cruz-Ramírez; Juan Carlos Fernández Caballero; Francisco Fernández-Navarro; Javier Briceño; Manuel de la Mata; César Hervás-Martínez (GECCO (Companion), 2011)

Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (SDE, 2011)

Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. - Adiel Castaño Méndez; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; Manuel Baena-García; César Hervás-Martínez (SOCO, 2011)

Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. - Francisco Fernández-Navarro; César Hervás-Martínez; Manuel Cruz-Ramírez; Pedro Antonio Gutiérrez; Antonio Valero (Appl. Soft Comput., 2011)

Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. - Francisco Fernández-Navarro; César Hervás-Martínez; Carlos R. García-Alonso; Mercedes Torres-Jiménez (Expert Syst. Appl., 2011)

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. - Francisco Fernández-Navarro; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (Neurocomputing, 2011)

Evolutionary q-Gaussian radial basis function neural networks for multiclassification. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz (Neural Networks, 2011)

Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. - Adiel Castaño; Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez (Neural Process. Lett., 2011)

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; Francisco Fernández-Navarro; César Hervás-Martínez (Neural Process. Lett., 2011)

A dynamic over-sampling procedure based on sensitivity for multi-class problems. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez (Pattern Recognit., 2011)

Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. - Francisco Fernández-Navarro; Huanhuan Chen; Pedro Antonio Gutiérrez; César Hervás-Martínez; Xin Yao 001 (HAIS (2), 2012)

An Experimental Study of Different Ordinal Regression Methods and Measures. - Pedro Antonio Gutiérrez; M. Pérez-Ortiz 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS (2), 2012)

Approaching System Administration as a Group Project in Computer Engineering Higher Education. - Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Francisco Fernández-Navarro (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Roberto Ruiz; José C. Riquelme (Appl. Soft Comput., 2012)

Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. - Adiel Castaño; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez (Expert Syst. Appl., 2012)

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; José Manuel Peñá-Barragán; Francisca López-Granados (Neurocomputing, 2012)

Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. - M. Dolores Redel-Macías; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; Antonio José Cubero-Atienza; César Hervás-Martínez (Expert Syst. Appl., 2013)

Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. - María Dolores Redel-Macías; Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; Antonio José Cubero-Atienza; César Hervás-Martínez (Neurocomputing, 2013)

PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. - Adiel Castaño; Francisco Fernández-Navarro; César Hervás-Martínez (Neural Process. Lett., 2013)

Generalised Gaussian radial basis function neural networks. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez (Soft Comput., 2013)

Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach. - Francisco Fernández-Navarro; Pilar Campoy-Muñoz; Monica-de la Paz-Marin; César Hervás-Martínez; Xin Yao 001 (IEEE Trans. Cybern., 2013)

Negative Correlation Ensemble Learning for Ordinal Regression. - Francisco Fernández-Navarro; Pedro Antonio Gutiérrez; César Hervás-Martínez; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Athanasia Nikolaou; Isabelle Dicaire; Francisco Fernández-Navarro (HAIS, 2014)

Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine. - Annalisa Riccardi; Francisco Fernández-Navarro; Sante Carloni (IEEE Trans. Cybern., 2014)

Ordinal Neural Networks Without Iterative Tuning. - Francisco Fernández-Navarro; Annalisa Riccardi; Sante Carloni (IEEE Trans. Neural Networks Learn. Syst., 2014)

Ordinal Regression by a Generalized Force-Based Model. - Francisco Fernández-Navarro; Annalisa Riccardi; Sante Carloni (IEEE Trans. Cybern., 2015)

Ordinal regression by a gravitational model in the field of educational data mining. - Pilar Gómez-Rey; Francisco Fernández-Navarro; Elena Barberà (Expert Syst. J. Knowl. Eng., 2016)

The Impact of Cultural Dimensions on Online Learning. - Pilar Gómez-Rey; Elena Barberà; Francisco Fernández-Navarro (J. Educ. Technol. Soc., 2016)

Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. - Adiel Castaño; Francisco Fernández-Navarro; Annalisa Riccardi; César Hervás-Martínez (Neural Comput. Appl., 2016)

Ordinal Regression Methods: Survey and Experimental Study. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez (IEEE Trans. Knowl. Data Eng., 2016)

A two dimensional accuracy-based measure for classification performance. - Mariano Carbonero-Ruz; Francisco J. Martínez-Estudillo; Francisco Fernández-Navarro; David Becerra-Alonso; Alfonso C. Martínez-Estudillo (Inf. Sci., 2017)

A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression. - Francisco Fernández-Navarro (Neural Process. Lett., 2017)

Global Sensitivity Estimates for Neural Network Classifiers. - Francisco Fernández-Navarro; Mariano Carbonero-Ruz; David Becerra-Alonso; Mercedes Torres-Jiménez (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Preliminary Study of Diversity in Extreme Learning Machines Ensembles. - Carlos Perales-González; Mariano Carbonero-Ruz; David Becerra-Alonso; Francisco Fernández-Navarro (HAIS, 2018)

A socially responsible consumption index based on non-linear dimensionality reduction and global sensitivity analysis. - Jose Javier Pérez-Barea; Francisco Fernández-Navarro; Maria Jose Montero-Simó; Rafael Araque-Padilla (Appl. Soft Comput., 2018)

Learner support in MOOCs: Identifying variables linked to completion. - Elena Barberà; Jingjing Zhang; Cristina Galván-Fernández; Francisco Fernández-Navarro (Comput. Educ., 2018)

Time series forecasting by recurrent product unit neural networks. - Francisco Fernández-Navarro; Maria Angeles de la Cruz; Pedro Antonio Gutiérrez; Adiel Castaño; César Hervás-Martínez (Neural Comput. Appl., 2018)

Regularized ensemble neural networks models in the Extreme Learning Machine framework. - Carlos Perales-González; Mariano Carbonero-Ruz; David Becerra-Alonso; Javier Pérez-Rodríguez; Francisco Fernández-Navarro (Neurocomputing, 2019)

On the use of evolutionary time series analysis for segmenting paleoclimate data. - María Pérez-Ortiz 001; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; Athanasia Nikolaou; Francisco Fernández-Navarro; César Hervás-Martínez (Neurocomputing, 2019)

Negative correlation learning in the extreme learning machine framework. - Carlos Perales-González; Mariano Carbonero-Ruz; Javier Pérez-Rodríguez; David Becerra-Alonso; Francisco Fernández-Navarro (Neural Comput. Appl., 2020)

Negative Correlation Hidden Layer for the Extreme Learning Machine. - Carlos Perales-González; Francisco Fernández-Navarro; Javier Pérez-Rodríguez; Mariano Carbonero-Ruz (Appl. Soft Comput., 2021)

An experimental study on diversification in portfolio optimization. - Luisa Martínez-Nieto; Francisco Fernández-Navarro; Mariano Carbonero-Ruz; Teresa Montero-Romero (Expert Syst. Appl., 2021)

Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks. - Annalisa Riccardi; Jessica Gemignani; Francisco Fernández-Navarro; Anna Heffernan (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. - Carlos Perales-González; Francisco Fernández-Navarro; Mariano Carbonero-Ruz; Javier Pérez-Rodríguez (IEEE Trans. Neural Networks Learn. Syst., 2022)

A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks. - Antonio Manuel Durán-Rosal; Aggeo Durán-Fernández; Francisco Fernández-Navarro; Mariano Carbonero-Ruz (Appl. Soft Comput., 2023)

Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework. - Javier Pérez-Rodríguez; Francisco Fernández-Navarro; Thomas Ian Ashley (Expert Syst. Appl., 2023)

Global and Diverse Ensemble model for regression. - Antonio Manuel Durán-Rosal; Thomas Ian Ashley; Javier Pérez-Rodríguez; Francisco Fernández-Navarro (Neurocomputing, 2025)

Enhancing financial time series forecasting through topological data analysis. - Luiz Carlos de Jesus Jr.; Francisco Fernández-Navarro; Mariano Carbonero-Ruz (Neural Comput. Appl., 2025)