Mariano Carbonero-Ruz

发表

Evolutionary Extreme Learning Machine for Ordinal Regression

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

Combined projection and kernel basis functions for classification in evolutionary neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, 2009, Neurocomputing.

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification

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

Adapting linear discriminant analysis to the paradigm of learning from label proportions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

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..

Combined projection and kernel basis functions for classification in evolutionary neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, 2009, Neurocomputing.

Semi-supervised learning for ordinal Kernel Discriminant Analysis

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, Neural Networks.

Regularized ensemble neural networks models in the Extreme Learning Machine framework

Javier Pérez-Rodríguez, Francisco Fernández-Navarro, David Becerra-Alonso, 2019, Neurocomputing.

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, CAEPIA.

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.

Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2010, HAIS.

Multilogistic Regression by Product Units

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

A Preliminary Study of Diversity in Extreme Learning Machines Ensembles

Francisco Fernández-Navarro, David Becerra-Alonso, Mariano Carbonero-Ruz, 2018, HAIS.

Global Sensitivity Estimates for Neural Network Classifiers

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Mercedes Torres-Jiménez, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Evolutionary Combining of Basis Function Neural Networks for Classification

César Hervás-Martínez, Cristóbal Romero, Francisco José Martínez, 2007, IWINAC.

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.

Stochastic Sensitivity Analysis Using Extreme Learning Machine

David Becerra-Alonso, Mariano Carbonero-Ruz, Alfonso Carlos Martínez-Estudillo, 2014 .

Multilogistic regression by means of evolutionary product-unit neural networks

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

Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Networks.

The Machine-Part Cell Formation Problem with Non-Binary Values: A MILP Model and a Case of Study in the Accounting Profession

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Antonio Ariza-Montes, 2021, Mathematics.

An experimental study on diversification in portfolio optimization

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Luisa Martínez-Nieto, 2021, Expert Syst. Appl..

Negative Correlation Hidden Layer for the Extreme Learning Machine

Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, 2021, Appl. Soft Comput..

Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Luisa Martínez-Nieto, 2021, Mathematics.

Global Sensitivity Estimates for Neural Network Classifiers.

Mariano Carbonero-Ruz, Francisco Fernandez-Navarro, David Becerra Alonso, 2016, IEEE transactions on neural networks and learning systems.