Mariano Carbonero-Ruz

According to our database1, Mariano Carbonero-Ruz authored at least 21 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Negative correlation learning in the extreme learning machine framework.
Neural Comput. Appl., 2020

2019
Regularized ensemble neural networks models in the Extreme Learning Machine framework.
Neurocomputing, 2019

Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks.
Appl. Intell., 2019

2018
A Preliminary Study of Diversity in Extreme Learning Machines Ensembles.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Global Sensitivity Estimates for Neural Network Classifiers.
IEEE Trans. Neural Networks Learn. Syst., 2017

A two dimensional accuracy-based measure for classification performance.
Inf. Sci., 2017

2016
Semi-supervised learning for ordinal Kernel Discriminant Analysis.
Neural Networks, 2016

Adapting linear discriminant analysis to the paradigm of learning from label proportions.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis.
Proceedings of the Advances in Artificial Intelligence, 2016

2012
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems.
Inf. Sci., 2012

Evolutionary Extreme Learning Machine for Ordinal Regression.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Evolutionary q-Gaussian radial basis function neural networks for multiclassification.
Neural Networks, 2011

A Hybrid Evolutionary Approach to Obtain Better Quality Classifiers.
Proceedings of the Advances in Computational Intelligence, 2011

Numerical variable reconstruction from ordinal categories based on probability distributions.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Evolutionary <i>q</i>-Gaussian Radial Basis Functions for Binary-Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Multilogistic Regression by Product Units.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Combined projection and kernel basis functions for classification in evolutionary neural networks.
Neurocomputing, 2009

2008
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Multilogistic regression by means of evolutionary product-unit neural networks.
Neural Networks, 2008

2007
Evolutionary Combining of Basis Function Neural Networks for Classification.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007


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