Francisco J. Martínez-Estudillo

发表

Time Series Representation by a Novel Hybrid Segmentation Algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2016, HAIS.

Evolutionary product-unit neural networks classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2008, Neurocomputing.

Evolutionary Extreme Learning Machine for Ordinal Regression

Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo, David Becerra-Alonso, 2012, ICONIP.

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, IEEE Transactions on Neural Networks.

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

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2007, IWANN.

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

César Hervás-Martínez, Francisco J. Martínez-Estudillo, F. Martínez-Estudillo, 2007, Pattern Recognit..

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification

César Hervás-Martínez, Manuel Cruz-Ramírez, Francisco J. Martínez-Estudillo, 2010, HAIS.

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

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2012, Inf. Sci..

Simultaneous optimisation of clustering quality and approximation error for time series segmentation

Pedro Antonio Gutiérrez, César Hervás-Martínez, Antonio Manuel Durán-Rosal, 2018, Inf. Sci..

MultiLogistic Regression using Initial and Radial Basis Function covariates

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2009, 2009 International Joint Conference on Neural Networks.

Memetic Algorithms to Product-Unit Neural Networks for Regression

César Hervás-Martínez, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo, 2005, IWANN.

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

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, Appl. Soft Comput..

A two dimensional accuracy-based measure for classification performance

Francisco Fernández-Navarro, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo, 2017, Inf. Sci..

A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers

Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo, David Becerra-Alonso, 2011, IWANN.

Multilogistic Regression by Product Units

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2009, Encyclopedia of Artificial Intelligence.

Evolutionary product unit based neural networks for regression

César Hervás-Martínez, Nicolás García-Pedrajas, Francisco J. Martínez-Estudillo, 2006, Neural Networks.

Classification by means of Evolutionary Product-Unit Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Numerical variable reconstruction from ordinal categories based on probability distributions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Multilogistic regression by means of evolutionary product-unit neural networks

César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz, 2008, Neural Networks.

Evolutionary Product-Unit Neural Networks for Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sebastián Ventura, 2006, IDEAL.