Rojas I - Search Results

1

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.

Ortuño FM, Valenzuela O, Rojas F, Pomares H, Florido JP, Urquiza JM, Rojas I. Ortuño FM, et al. Among authors: rojas f, rojas i. Bioinformatics. 2013 Sep 1;29(17):2112-21. doi: 10.1093/bioinformatics/btt360. Epub 2013 Jun 21. Bioinformatics. 2013. PMID: 23793754

2

Short-term prediction of chaotic time series by using RBF network with regression weights.

Rojas I, Gonzalez J, Cañas A, Diaz AF, Rojas FJ, Rodriguez M. Rojas I, et al. Among authors: rojas fj. Int J Neural Syst. 2000 Oct;10(5):353-64. doi: 10.1142/S0129065700000351. Int J Neural Syst. 2000. PMID: 11195935

3

Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation.

Gonzalez J, Rojas I, Ortega J, Pomares H, Fernandez FJ, Diaz AF. Gonzalez J, et al. Among authors: rojas i. IEEE Trans Neural Netw. 2003;14(6):1478-95. doi: 10.1109/TNN.2003.820657. IEEE Trans Neural Netw. 2003. PMID: 18244593

4

Web newspaper layout optimization using simulated annealing.

Gonzalez J, Rojas I, Pomares H, Salmeron M, Merelo JJ. Gonzalez J, et al. Among authors: rojas i. IEEE Trans Syst Man Cybern B Cybern. 2002;32(5):686-91. doi: 10.1109/TSMCB.2002.1033189. IEEE Trans Syst Man Cybern B Cybern. 2002. PMID: 18244874

5

A systematic approach to a self-generating fuzzy rule-table for function approximation.

Pomares H, Rojas I, Ortega J, Gonzalez J, Prieto A. Pomares H, et al. Among authors: rojas i. IEEE Trans Syst Man Cybern B Cybern. 2000;30(3):431-47. doi: 10.1109/3477.846232. IEEE Trans Syst Man Cybern B Cybern. 2000. PMID: 18252375

6

Generating balanced learning and test sets for function approximation problems.

Florido JP, Pomares H, Rojas I. Florido JP, et al. Among authors: rojas i. Int J Neural Syst. 2011 Jun;21(3):247-63. doi: 10.1142/S0129065711002791. Int J Neural Syst. 2011. PMID: 21656926

7

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.

Urquiza JM, Rojas I, Pomares H, Herrera J, Florido JP, Valenzuela O, Cepero M. Urquiza JM, et al. Among authors: rojas i. Comput Biol Med. 2012 Jun;42(6):639-50. doi: 10.1016/j.compbiomed.2012.01.010. Epub 2012 May 9. Comput Biol Med. 2012. PMID: 22575173

8

On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition.

Banos O, Damas M, Pomares H, Rojas I. Banos O, et al. Among authors: rojas i. Sensors (Basel). 2012;12(6):8039-54. doi: 10.3390/s120608039. Epub 2012 Jun 11. Sensors (Basel). 2012. PMID: 22969386 Free PMC article.

9

Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques.

Ortuño FM, Valenzuela O, Pomares H, Rojas F, Florido JP, Urquiza JM, Rojas I. Ortuño FM, et al. Among authors: rojas f, rojas i. Nucleic Acids Res. 2013 Jan 7;41(1):e26. doi: 10.1093/nar/gks919. Epub 2012 Oct 11. Nucleic Acids Res. 2013. PMID: 23066102 Free PMC article.

10

Ambient assisted living devices interoperability based on OSGi and the X73 standard.

Damas M, Pomares H, Gonzalez S, Olivares A, Rojas I. Damas M, et al. Among authors: rojas i. Telemed J E Health. 2013 Jan;19(1):54-60. doi: 10.1089/tmj.2012.0052. Epub 2012 Dec 19. Telemed J E Health. 2013. PMID: 23252342

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