Memetic Algorithms to Product-Unit Neural Networks for Regression. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Alfonso C. Martínez-Estudillo; Domingo Ortiz-Boyer (IWANN, 2005)

Evolutionary Product-Unit Neural Networks for Classification. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Pedro Antonio Gutiérrez Peña; Alfonso C. Martínez-Estudillo; Sebastián Ventura (IDEAL, 2006)

Classification by means of Evolutionary Product-Unit Neural Networks. - César Hervás-Martínez; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez (IJCNN, 2006)

Evolutionary product unit based neural networks for regression. - Alfonso C. Martínez-Estudillo; Francisco J. Martínez-Estudillo; César Hervás-Martínez; Nicolás García-Pedrajas (Neural Networks, 2006)

Hybridization of evolutionary algorithms and local search by means of a clustering method. - Alfonso C. Martínez-Estudillo; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Nicolás García-Pedrajas (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Alfonso C. Martínez-Estudillo; Pedro Antonio Gutiérrez Peña (IWANN, 2007)

Logistic regression using covariates obtained by product-unit neural network models. - César Hervás-Martínez; Francisco J. Martínez-Estudillo (Pattern Recognit., 2007)

Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. - Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez; César Hervás; Juan Carlos Fernández 001 (IEEE Congress on Evolutionary Computation, 2008)

Evolutionary product-unit neural networks classifiers. - Francisco J. Martínez-Estudillo; César Hervás-Martínez; Pedro Antonio Gutiérrez; Alfonso C. Martínez-Estudillo (Neurocomputing, 2008)

Multilogistic regression by means of evolutionary product-unit neural networks. - César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz (Neural Networks, 2008)

MultiLogistic Regression using Initial and Radial Basis Function covariates. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Juan Carlos Fernández 001 (IJCNN, 2009)

Multilogistic Regression by Product Units. - Pedro Antonio Gutiérrez; César Hervás; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz (Encyclopedia of Artificial Intelligence, 2009)

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. - Javier Sánchez-Monedero; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz; M. C. Ramírez Moreno; Manuel Cruz-Ramírez (HAIS (2), 2010)

Numerical variable reconstruction from ordinal categories based on probability distributions. - Javier Sánchez-Monedero; Mariano Carbonero-Ruz; David Becerra-Alonso; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2011)

A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers. - David Becerra-Alonso; Mariano Carbonero-Ruz; Francisco J. Martínez-Estudillo; Alfonso C. Martínez-Estudillo (IWANN (2), 2011)

Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. - Juan Carlos Fernández 001; César Hervás; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez (Appl. Soft Comput., 2011)

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Francisco J. Martínez-Estudillo (IEEE Trans. Neural Networks, 2011)

Evolutionary Extreme Learning Machine for Ordinal Regression. - David Becerra-Alonso; Mariano Carbonero-Ruz; Francisco J. Martínez-Estudillo; Alfonso C. Martínez-Estudillo (ICONIP (3), 2012)

A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. - Pedro Antonio Gutiérrez; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz (Inf. Sci., 2012)

Time Series Representation by a Novel Hybrid Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez Peña; Francisco José Martínez-Estudillo; César Hervás-Martínez (HAIS, 2016)

A two dimensional accuracy-based measure for classification performance. - Mariano Carbonero-Ruz; Francisco J. Martínez-Estudillo; Francisco Fernández-Navarro; David Becerra-Alonso; Alfonso C. Martínez-Estudillo (Inf. Sci., 2017)

Simultaneous optimisation of clustering quality and approximation error for time series segmentation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Francisco José Martínez-Estudillo; César Hervás-Martínez (Inf. Sci., 2018)

Splitting criteria for ordinal decision trees: an experimental study. - Rafael Ayllón-Gavilán; Francisco José Martínez-Estudillo; David Guijo-Rubio; César Hervás-Martínez; Pedro Antonio Gutiérrez (CoRR, 2024)