Francisco Fernández-Navarro

According to our database1, Francisco Fernández-Navarro
  • authored at least 44 papers between 2009 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Global Sensitivity Estimates for Neural Network Classifiers.
IEEE Trans. Neural Netw. Learning Syst., 2017

A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression.
Neural Processing Letters, 2017

A two dimensional accuracy-based measure for classification performance.
Inf. Sci., 2017

2016
Ordinal Regression Methods: Survey and Experimental Study.
IEEE Trans. Knowl. Data Eng., 2016

Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis.
Neural Computing and Applications, 2016

The Impact of Cultural Dimensions on Online Learning.
Educational Technology & Society, 2016

Ordinal regression by a gravitational model in the field of educational data mining.
Expert Systems, 2016

2015
Ordinal Regression by a Generalized Force-Based Model.
IEEE Trans. Cybernetics, 2015

2014
Ordinal Neural Networks Without Iterative Tuning.
IEEE Trans. Neural Netw. Learning Syst., 2014

Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine.
IEEE Trans. Cybernetics, 2014

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013
Negative Correlation Ensemble Learning for Ordinal Regression.
IEEE Trans. Neural Netw. Learning Syst., 2013

Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach.
IEEE Trans. Cybernetics, 2013

Generalised Gaussian radial basis function neural networks.
Soft Comput., 2013

PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis.
Neural Processing Letters, 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

An Experimental Study of Different Ordinal Regression Methods and Measures.
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
A dynamic over-sampling procedure based on sensitivity for multi-class problems.
Pattern Recognition, 2011

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers.
Neural Processing Letters, 2011

Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem.
Neural Processing Letters, 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
Classification by evolutionary generalised radial basis functions.
Int. J. Hybrid Intell. Syst., 2010

Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evolutionary Intelligence, 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 q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms.
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

Classification by Evolutionary Generalized Radial Basis Functions.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009


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