Hervás Martínez C - Search Results

1

A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks.

Bérchez-Moreno F, Durán-Rosal AM, Hervás Martínez C, Gutiérrez PA, Fernández JC. Bérchez-Moreno F, et al. Among authors: hervas martinez c. Sci Rep. 2024 Mar 23;14(1):6961. doi: 10.1038/s41598-024-57654-2. Sci Rep. 2024. PMID: 38521859 Free PMC article.

2

Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks).

García-Pedrajas N, Hervás-Martínez C, Muñoz-Pérez J. García-Pedrajas N, et al. Among authors: hervas martinez c. Neural Netw. 2002 Dec;15(10):1259-78. doi: 10.1016/s0893-6080(02)00095-3. Neural Netw. 2002. PMID: 12425442

3

Evolutionary product unit based neural networks for regression.

Martínez-Estudillo A, Martínez-Estudillo F, Hervás-Martínez C, García-Pedrajas N. Martínez-Estudillo A, et al. Among authors: martinez estudillo f, hervas martinez c. Neural Netw. 2006 May;19(4):477-86. doi: 10.1016/j.neunet.2005.11.001. Epub 2006 Feb 14. Neural Netw. 2006. PMID: 16481148

4

Multilogistic regression by means of evolutionary product-unit neural networks.

Hervás-Martínez C, Martínez-Estudillo FJ, Carbonero-Ruz M. Hervás-Martínez C, et al. Among authors: martinez estudillo fj. Neural Netw. 2008 Sep;21(7):951-61. doi: 10.1016/j.neunet.2007.12.052. Epub 2008 Jan 20. Neural Netw. 2008. PMID: 18313261

5

Development of a multi-classification neural network model to determine the microbial growth/no growth interface.

Fernández-Navarro F, Valero A, Hervás-Martínez C, Gutiérrez PA, García-Gimeno RM, Zurera-Cosano G. Fernández-Navarro F, et al. Among authors: hervas martinez c. Int J Food Microbiol. 2010 Jul 15;141(3):203-12. doi: 10.1016/j.ijfoodmicro.2010.05.013. Epub 2010 May 27. Int J Food Microbiol. 2010. PMID: 20554339

6

Logistic regression by means of evolutionary radial basis function neural networks.

Gutierrez PA, Hervas-Martinez C, Martinez-Estudillo FJ. Gutierrez PA, et al. Among authors: martinez estudillo fj, hervas martinez c. IEEE Trans Neural Netw. 2011 Feb;22(2):246-63. doi: 10.1109/TNN.2010.2093537. Epub 2010 Dec 6. IEEE Trans Neural Netw. 2011. PMID: 21138802

7

Evolutionary q-Gaussian radial basis function neural networks for multiclassification.

Fernández-Navarro F, Hervás-Martínez C, Gutiérrez PA, Carbonero-Ruz M. Fernández-Navarro F, et al. Among authors: hervas martinez c. Neural Netw. 2011 Sep;24(7):779-84. doi: 10.1016/j.neunet.2011.03.014. Epub 2011 Mar 21. Neural Netw. 2011. PMID: 21463924

8

Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks.

Cruz-Ramírez M, Hervás-Martínez C, Fernández JC, Briceño J, de la Mata M. Cruz-Ramírez M, et al. Among authors: hervas martinez c. Artif Intell Med. 2013 May;58(1):37-49. doi: 10.1016/j.artmed.2013.02.004. Epub 2013 Mar 13. Artif Intell Med. 2013. PMID: 23489761

9

Exploitation of pairwise class distances for ordinal classification.

Sánchez-Monedero J, Gutiérrez PA, Tiňo P, Hervás-Martínez C. Sánchez-Monedero J, et al. Among authors: hervas martinez c. Neural Comput. 2013 Sep;25(9):2450-85. doi: 10.1162/NECO_a_00478. Epub 2013 May 10. Neural Comput. 2013. PMID: 23663143

10

Projection-based ensemble learning for ordinal regression.

Pérez-Ortiz M, Gutiérrez PA, Hervás-Martínez C. Pérez-Ortiz M, et al. Among authors: hervas martinez c. IEEE Trans Cybern. 2014 May;44(5):681-94. doi: 10.1109/TCYB.2013.2266336. Epub 2013 Jun 27. IEEE Trans Cybern. 2014. PMID: 23807481

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