Francisco J. Martínez-Estudillo

According to our database1, Francisco J. Martínez-Estudillo authored at least 22 papers between 2005 and 2018.

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



In proceedings 
PhD thesis 




Simultaneous optimisation of clustering quality and approximation error for time series segmentation.
Inf. Sci., 2018

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

Time Series Representation by a Novel Hybrid Segmentation Algorithm.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

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

Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks.
IEEE Trans. Neural Networks, 2011

Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology.
Appl. Soft Comput., 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

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

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

MultiLogistic Regression using Initial and Radial Basis Function covariates.
Proceedings of the International Joint Conference on Neural Networks, 2009

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

Evolutionary product-unit neural networks classifiers.
Neurocomputing, 2008

Evolutionary learning by a sensitivity-accuracy approach for multi-class problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Logistic regression using covariates obtained by product-unit neural network models.
Pattern Recognit., 2007

Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification.
Proceedings of the Computational and Ambient Intelligence, 2007

Hybridization of evolutionary algorithms and local search by means of a clustering method.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Evolutionary product unit based neural networks for regression.
Neural Networks, 2006

Classification by means of Evolutionary Product-Unit Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Evolutionary Product-Unit Neural Networks for Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Memetic Algorithms to Product-Unit Neural Networks for Regression.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005