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Mariano Carbonero-Ruz
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Journal Articles
- 2023
- [j14]Antonio Manuel Durán-Rosal
, Aggeo Durán-Fernández
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks. Appl. Soft Comput. 133: 109914 (2023) - 2022
- [j13]Carlos Perales-González
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4031-4042 (2022) - 2021
- [j12]Carlos Perales-González
Negative Correlation Hidden Layer for the Extreme Learning Machine. Appl. Soft Comput. 109: 107482 (2021) - [j11]Luisa Martínez-Nieto
An experimental study on diversification in portfolio optimization. Expert Syst. Appl. 181: 115203 (2021) - 2020
- [j10]Carlos Perales-González
Negative correlation learning in the extreme learning machine framework. Neural Comput. Appl. 32(17): 13805-13823 (2020) - 2019
- [j9]Juan Carlos Fernández
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. Appl. Intell. 49(9): 3447-3463 (2019) - [j8]Carlos Perales-González
Regularized ensemble neural networks models in the Extreme Learning Machine framework. Neurocomputing 361: 196-211 (2019) - 2017
- [j7]Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Francisco Fernández-Navarro
A two dimensional accuracy-based measure for classification performance. Inf. Sci. 382-383: 60-80 (2017) - [j6]Francisco Fernández-Navarro
Global Sensitivity Estimates for Neural Network Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2592-2604 (2017) - 2016
- [j5]M. Pérez-Ortiz
Semi-supervised learning for ordinal Kernel Discriminant Analysis. Neural Networks 84: 57-66 (2016) - 2012
- [j4]Pedro Antonio Gutiérrez
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. Inf. Sci. 197: 20-37 (2012) - 2011
- [j3]Francisco Fernández-Navarro
Evolutionary q-Gaussian radial basis function neural networks for multiclassification. Neural Networks 24(7): 779-784 (2011) - 2009
- [j2]Pedro Antonio Gutiérrez
Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing 72(13-15): 2731-2742 (2009) - 2008
- [j1]César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
Multilogistic regression by means of evolutionary product-unit neural networks. Neural Networks 21(7): 951-961 (2008)
Conference and Workshop Papers
- 2018
- [c9]Carlos Perales-González
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles. HAIS 2018: 302-314 - 2016
- [c8]María Pérez-Ortiz
Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis. CAEPIA 2016: 79-88 - [c7]María Pérez-Ortiz
Adapting linear discriminant analysis to the paradigm of learning from label proportions. SSCI 2016: 1-7 - 2012
- [c6]David Becerra-Alonso, Mariano Carbonero-Ruz, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo:
Evolutionary Extreme Learning Machine for Ordinal Regression. ICONIP (3) 2012: 217-227 - 2011
- [c5]Javier Sánchez-Monedero
Numerical variable reconstruction from ordinal categories based on probability distributions. ISDA 2011: 1182-1187 - [c4]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: 161-168 - 2010
- [c3]Francisco Fernández-Navarro
Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. HAIS (2) 2010: 280-287 - [c2]Javier Sánchez-Monedero
Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. HAIS (2) 2010: 288-295 - 2007
- [c1]César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero
Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) 2007: 447-456
Parts in Books or Collections
- 2008
- [p1]Pedro Antonio Gutiérrez
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. Innovations in Hybrid Intelligent Systems 2008: 88-95
Reference Works
- 2009
- [r1]Pedro Antonio Gutiérrez, César Hervás, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
Multilogistic Regression by Product Units. Encyclopedia of Artificial Intelligence 2009: 1136-1144
Coauthor Index
aka: César Hervás
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