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ORCIDFrancisco Fernández-Navarro
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2020 – today
- 2023
[j40]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: 109914 (2023)- [j39]Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Thomas Ian Ashley:
Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework. Expert Syst. Appl. 229(Part A): 120462 (2023) - 2022
- [j38]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): 4031-4042 (2022) - 2021
- [j37]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: 107482 (2021) - [j36]Luisa Martínez-Nieto, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Teresa Montero-Romero:
An experimental study on diversification in portfolio optimization. Expert Syst. Appl. 181: 115203 (2021) - [j35]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): 79-91 (2021) - 2020
- [j34]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): 13805-13823 (2020)
2010 – 2019
- 2019
- [j33]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 326-327: 3-14 (2019) - [j32]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: 196-211 (2019) - 2018
- [j31]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: 599-609 (2018) - [j30]Elena Barberà, Jingjing Zhang, Cristina Galván-Fernández, Francisco Fernández-Navarro:
Learner support in MOOCs: Identifying variables linked to completion. Comput. Educ. 122: 153-168 (2018) - [j29]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): 779-791 (2018) - [c17]Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro:
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles. HAIS 2018: 302-314 - 2017
- [j28]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. 382-383: 60-80 (2017) - [j27]Francisco Fernández-Navarro:
A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression. Neural Process. Lett. 46(1): 251-269 (2017) - [j26]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): 2592-2604 (2017) - 2016
- [j25]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): 161-175 (2016) - [j24]Pilar Gómez-Rey, Elena Barberà, Francisco Fernández-Navarro:
The Impact of Cultural Dimensions on Online Learning. J. Educ. Technol. Soc. 19(4): 225-238 (2016) - [j23]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): 1749-1760 (2016) - [j22]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): 127-146 (2016) - 2015
- [j21]Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni:
Ordinal Regression by a Generalized Force-Based Model. IEEE Trans. Cybern. 45(4): 844-857 (2015) - 2014
- [j20]Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni:
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine. IEEE Trans. Cybern. 44(10): 1898-1909 (2014) - [j19]Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni:
Ordinal Neural Networks Without Iterative Tuning. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2075-2085 (2014) - [c16]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: 318-329 - 2013
- [j18]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): 1477-1483 (2013) - [j17]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: 56-65 (2013) - [j16]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): 377-392 (2013) - [j15]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Generalised Gaussian radial basis function neural networks. Soft Comput. 17(3): 519-533 (2013) - [j14]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): 2228-2240 (2013) - [j13]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): 1836-1849 (2013) - 2012
- [j12]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): 1787-1800 (2012) - [j11]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): 8350-8355 (2012) - [j10]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): 123-134 (2012) - [c15]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: 296-307 - [c14]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: 308-318 - [c13]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
- [j9]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): 3012-3020 (2011) - [j8]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): 12483-12490 (2011) - [j7]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): 2502-2510 (2011) - [j6]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): 779-784 (2011) - [j5]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): 101-116 (2011) - [j4]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): 117-131 (2011) - [j3]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): 1821-1833 (2011) - [c12]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 - [c11]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 - [c10]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: 263-270 - 2010
- [j2]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) - [j1]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): 239-248 (2010) - [c9]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz:
Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. HAIS (2) 2010: 280-287 - [c8]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme:
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) 2010: 327-336 - [c7]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: 1-10 - [c6]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 - [c5]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 - [c4]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
2000 – 2009
- 2009
- [c3]Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. ISDA 2009: 187-192 - [c2]Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, María Matilda García:
Classification by Evolutionary Generalized Radial Basis Functions. ISDA 2009: 203-208 - [c1]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
Coauthor Index
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