Mariano Carbonero-Ruz

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 13

Top Topics

Evolutionary Optimization

Discriminant Analysis

Extreme Learning Machine

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Appl. Soft Comput.

Publications

Antonio Manuel Durán-Rosal, Aggeo Durán-Fernández, Francisco Fernández-Navarro, Mariano Carbonero-Ruz
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks. Appl. Soft Comput. 133 (2023)
Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz
Negative Correlation Hidden Layer for the Extreme Learning Machine. Appl. Soft Comput. 109 (2021)
Luisa Martínez-Nieto, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Teresa Montero-Romero
An experimental study on diversification in portfolio optimization. Expert Syst. Appl. 181 (2021)
Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, David Becerra-Alonso, Francisco Fernández-Navarro
Negative correlation learning in the extreme learning machine framework. Neural Comput. Appl. 32 (17) (2020)
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
Regularized ensemble neural networks models in the Extreme Learning Machine framework. Neurocomputing 361 (2019)
Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. Appl. Intell. 49 (9) (2019)
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco Fernández-Navarro
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles. HAIS (2018)
Francisco Fernández-Navarro, Mariano Carbonero-Ruz, David Becerra-Alonso, Mercedes Torres-Jiménez
Global Sensitivity Estimates for Neural Network Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
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)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis. CAEPIA (2016)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
Adapting linear discriminant analysis to the paradigm of learning from label proportions. SSCI (2016)
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
Semi-supervised learning for ordinal Kernel Discriminant Analysis. Neural Networks 84 (2016)
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)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz
Evolutionary q-Gaussian radial basis function neural networks for multiclassification. Neural Networks 24 (7) (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)
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)
Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz
-Gaussian Radial Basis Functions for Binary-Classification. HAIS (2) (2010)
Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández
Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing 72 (13-15) (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)
César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández
Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) (2007)