Francisco J. Martínez-Estudillo

Francisco José Martínez-Estudillo

Inf. Sci., 2018

2017

A two dimensional accuracy-based measure for classification performance.

[BibT_eX]

[DOI]

Francisco Fernández-Navarro

Antonio Manuel Durán-Rosal

Inf. Sci., 2017

2016

Time Series Representation by a Novel Hybrid Segmentation Algorithm.

[BibT_eX]

[DOI]

Pedro Antonio Gutiérrez Peña

Francisco José Martínez-Estudillo

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2012

A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems.

[BibT_eX]

[DOI]

Inf. Sci., 2012

Evolutionary Extreme Learning Machine for Ordinal Regression.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology.

[BibT_eX]

[DOI]

Juan Carlos Fernández

César Hervás

Appl. Soft Comput., 2011

A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2011

Numerical variable reconstruction from ordinal categories based on probability distributions.

[BibT_eX]

[DOI]

Javier Sánchez-Monedero

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification.

[BibT_eX]

[DOI]

Javier Sánchez-Monedero

M. C. Ramírez Moreno

Manuel Cruz-Ramírez

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009

Multilogistic Regression by Product Units.

[BibT_eX]

[DOI]

César Hervás

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

MultiLogistic Regression using Initial and Radial Basis Function covariates.

[BibT_eX]

[DOI]

Juan Carlos Fernández

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Multilogistic regression by means of evolutionary product-unit neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2008

Evolutionary product-unit neural networks classifiers.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Evolutionary learning by a sensitivity-accuracy approach for multi-class problems.

[BibT_eX]

[DOI]

César Hervás

Juan Carlos Fernández

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Logistic regression using covariates obtained by product-unit neural network models.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification.

[BibT_eX]

[DOI]

Pedro Antonio Gutiérrez Peña

Proceedings of the Computational and Ambient Intelligence, 2007

2006

Hybridization of evolutionary algorithms and local search by means of a clustering method.

[BibT_eX]

[DOI]

Nicolás García-Pedrajas

IEEE Trans. Syst. Man Cybern. Part B, 2006

Evolutionary product unit based neural networks for regression.

[BibT_eX]

[DOI]

Nicolás García-Pedrajas

Neural Networks, 2006

Classification by means of Evolutionary Product-Unit Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Evolutionary Product-Unit Neural Networks for Classification.

[BibT_eX]

[DOI]

Pedro Antonio Gutiérrez Peña

Sebastián Ventura

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005

Memetic Algorithms to Product-Unit Neural Networks for Regression.

[BibT_eX]

[DOI]