Hervás-Martínez C - Search Results

1

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals.

Rivero-Juárez A, Guijo-Rubio D, Tellez F, Palacios R, Merino D, Macías J, Fernández JC, Gutiérrez PA, Rivero A, Hervás-Martínez C. Rivero-Juárez A, et al. PLoS One. 2020 Jan 10;15(1):e0227188. doi: 10.1371/journal.pone.0227188. eCollection 2020. PLoS One. 2020. PMID: 31923277 Free PMC article. Clinical Trial.

2

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. 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

3

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

Gutierrez PA, Hervas-Martinez C, Martinez-Estudillo FJ. Gutierrez PA, et al. 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

4

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. 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

5

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. 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

6

Exploitation of pairwise class distances for ordinal classification.

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

7

Projection-based ensemble learning for ordinal regression.

Pérez-Ortiz M, Gutiérrez PA, Hervás-Martínez C. Pérez-Ortiz M, et al. 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

8

Negative correlation ensemble learning for ordinal regression.

Fernández-Navarro F, Gutiérrez PA, Hervás-Martínez C, Yao X. Fernández-Navarro F, et al. IEEE Trans Neural Netw Learn Syst. 2013 Nov;24(11):1836-49. doi: 10.1109/TNNLS.2013.2268279. IEEE Trans Neural Netw Learn Syst. 2013. PMID: 24808616

9

Ordinal regression neural networks based on concentric hyperspheres.

Gutiérrez PA, Tiňo P, Hervás-Martínez C. Gutiérrez PA, et al. Neural Netw. 2014 Nov;59:51-60. doi: 10.1016/j.neunet.2014.07.001. Epub 2014 Jul 11. Neural Netw. 2014. PMID: 25078110

10

Oversampling the Minority Class in the Feature Space.

Perez-Ortiz M, Gutierrez PA, Tino P, Hervas-Martinez C. Perez-Ortiz M, et al. IEEE Trans Neural Netw Learn Syst. 2016 Sep;27(9):1947-61. doi: 10.1109/TNNLS.2015.2461436. Epub 2015 Aug 25. IEEE Trans Neural Netw Learn Syst. 2016. PMID: 26316222

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