Francisco Fernández-Navarro
Orcid: 0000-0002-5599-6170
According to our database1,
Francisco Fernández-Navarro
authored at least 57 papers
between 2009 and 2023.
Collaborative distances:
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Bibliography
2023
Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework.
Expert Syst. Appl., November, 2023
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks.
Appl. Soft Comput., January, 2023
2022
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.
IEEE Trans. Neural Networks Learn. Syst., 2022
2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Expert Syst. Appl., 2021
Appl. Soft Comput., 2021
2020
Neural Comput. Appl., 2020
2019
Neurocomputing, 2019
Regularized ensemble neural networks models in the Extreme Learning Machine framework.
Neurocomputing, 2019
2018
Neural Comput. Appl., 2018
Comput. Educ., 2018
A socially responsible consumption index based on non-linear dimensionality reduction and global sensitivity analysis.
Appl. Soft Comput., 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression.
Neural Process. Lett., 2017
Inf. Sci., 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis.
Neural Comput. Appl., 2016
Expert Syst. J. Knowl. Eng., 2016
2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine.
IEEE Trans. Cybern., 2014
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
IEEE Trans. Cybern., 2013
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis.
Neural Process. Lett., 2013
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles.
Neurocomputing, 2013
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks.
Expert Syst. Appl., 2013
2012
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification.
Neurocomputing, 2012
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods.
Expert Syst. Appl., 2012
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection.
Appl. Soft Comput., 2012
Approaching System Administration as a Group Project in Computer Engineering Higher Education.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Pattern Recognit., 2011
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers.
Neural Process. Lett., 2011
Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem.
Neural Process. Lett., 2011
Evolutionary q-Gaussian radial basis function neural networks for multiclassification.
Neural Networks, 2011
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks.
Neurocomputing, 2011
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity.
Expert Syst. Appl., 2011
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus.
Appl. Soft Comput., 2011
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Int. J. Hybrid Intell. Syst., 2010
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evol. Intell., 2010
On the suitability of Extreme Learning Machine for gene classification using feature selection.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Evolutionary <i>q</i>-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009