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ORCIDFrancisco J. Martínez-Estudillo
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2010 – 2019
- 2018
[j10]Antonio Manuel Durán-Rosal
, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, César Hervás-Martínez:
Simultaneous optimisation of clustering quality and approximation error for time series segmentation. Inf. Sci. 442-443: 186-201 (2018)- 2017
- [j9]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. 382-383: 60-80 (2017) - 2016
- [c11]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez Peña, Francisco José Martínez-Estudillo, César Hervás-Martínez:
Time Series Representation by a Novel Hybrid Segmentation Algorithm. HAIS 2016: 163-173 - 2012
- [j8]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: 20-37 (2012) - [c10]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
- [j7]Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. 11(1): 534-550 (2011) - [j6]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo:
Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. IEEE Trans. Neural Networks 22(2): 246-263 (2011) - [c9]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: 1182-1187 - [c8]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
- [c7]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: 288-295
2000 – 2009
- 2009
- [c6]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández:
MultiLogistic Regression using Initial and Radial Basis Function covariates. IJCNN 2009: 1067-1074 - [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 - 2008
- [j5]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo:
Evolutionary product-unit neural networks classifiers. Neurocomputing 72(1-3): 548-561 (2008) - [j4]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) - [c5]Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández:
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation 2008: 1581-1588 - 2007
- [j3]César Hervás-Martínez, Francisco J. Martínez-Estudillo:
Logistic regression using covariates obtained by product-unit neural network models. Pattern Recognit. 40(1): 52-64 (2007) - [c4]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Pedro Antonio Gutiérrez Peña:
Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. IWANN 2007: 351-358 - 2006
- [j2]Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas:
Evolutionary product unit based neural networks for regression. Neural Networks 19(4): 477-486 (2006) - [j1]Alfonso C. Martínez-Estudillo, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Nicolás García-Pedrajas:
Hybridization of evolutionary algorithms and local search by means of a clustering method. IEEE Trans. Syst. Man Cybern. Part B 36(3): 534-545 (2006) - [c3]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura:
Evolutionary Product-Unit Neural Networks for Classification. IDEAL 2006: 1320-1328 - [c2]César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN 2006: 1525-1532 - 2005
- [c1]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Domingo Ortiz-Boyer:
Memetic Algorithms to Product-Unit Neural Networks for Regression. IWANN 2005: 83-90
Coauthor Index
aka: Pedro Antonio Gutiérrez Peña
aka: César Hervás
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