Francisco J. Martínez-Estudillo

Publication Activity (10 Years)

Years Active: 2005-2017
Publications (10 Years): 1

Top Topics

Predictive Accuracy

Hyperparameters

Ordinal Regression

Top Venues

Publications

Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Francisco Fernández-Navarro, David Becerra-Alonso, Alfonso C. Martínez-Estudillo
A two dimensional accuracy-based measure for classification performance. Inf. Sci. (2017)
David Becerra-Alonso, Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo
Evolutionary Extreme Learning Machine for Ordinal Regression. ICONIP (3) (2012)
Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. Inf. Sci. 197 (2012)
David Becerra-Alonso, Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo
A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers. IWANN (2) (2011)
Javier Sánchez-Monedero, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás-Martínez
Numerical variable reconstruction from ordinal categories based on probability distributions. ISDA (2011)
Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo
Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. IEEE Trans. Neural Networks 22 (2) (2011)
Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. 11 (1) (2011)
Javier Sánchez-Monedero, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz, M. C. Ramírez Moreno, Manuel Cruz-Ramírez
Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. HAIS (2) (2010)
Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández
MultiLogistic Regression using Initial and Radial Basis Function covariates. IJCNN (2009)
César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz
Multilogistic regression by means of evolutionary product-unit neural networks. Neural Networks 21 (7) (2008)
Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo
Evolutionary product-unit neural networks classifiers. Neurocomputing 72 (1-3) (2008)
Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation (2008)
Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Pedro Antonio Gutiérrez Peña
Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. IWANN (2007)
César Hervás-Martínez, Francisco J. Martínez-Estudillo
Logistic regression using covariates obtained by product-unit neural network models. Pattern Recognit. 40 (1) (2007)
Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura
Evolutionary Product-Unit Neural Networks for Classification. IDEAL (2006)
Alfonso C. Martínez-Estudillo, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Nicolás García-Pedrajas
Hybridization of evolutionary algorithms and local search by means of a clustering method. IEEE Trans. Syst. Man Cybern. Part B 36 (3) (2006)
César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez
Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN (2006)
Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas
Evolutionary product unit based neural networks for regression. Neural Networks 19 (4) (2006)
Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Domingo Ortiz-Boyer
Memetic Algorithms to Product-Unit Neural Networks for Regression. IWANN (2005)