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Héctor Pomares (Selection)

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119Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancisco M. Ortuño Guzman, Javier P. Florido, José M. Urquiza, Héctor Pomares, Alberto Prieto, Ignacio Rojas: Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II. IEEE Congress on Evolutionary Computation 2012: 1-8
118Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJosé M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Olga Valenzuela, Maria del Mar Cepero: Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. Comp. in Bio. and Med. 42(6): 639-650 (2012)
114Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJ. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, M. A. Lopez-Gordo: A deterministic model selection scheme for incremental RBFNN construction in time series forecasting. Neural Computing and Applications 21(3): 595-610 (2012)
109Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJ. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, Francisco M. Ortuño Guzman: Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network. IWANN (2) 2011: 194-201
108Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancisco M. Ortuño Guzman, Ignacio Rojas, Héctor Pomares, José M. Urquiza, J. P. Florido: Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data. PACBB 2011: 183-190
107Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJosé M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman: Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. PACBB 2011: 373-380
104Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJ. P. Florido, Héctor Pomares, Ignacio Rojas: Generating Balanced Learning and Test Sets for Function Approximation Problems. Int. J. Neural Syst. 21(3): 247-263 (2011)
94Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJavier P. Florido, Héctor Pomares, Ignacio Rojas, José Miguel Urquiza Ortiz, Luis Javier Herrera, Manuel Gonzalo Claros: Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips. IJCNN 2010: 1-6
84Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJosé Miguel Urquiza Ortiz, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, Ginés Rubio, J. P. Florido: Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. ISCIS 2009: 645-650
77Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJ. P. Florido, Héctor Pomares, Ignacio Rojas, José C. Calvo, José M. Urquiza, M. Gonzalo Claros: On Selecting the Best Pre-processing Method for Affymetrix Genechips. IWANN (1) 2009: 845-852
76Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJosé M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José C. Calvo, Julio Ortega: Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. IWANN (1) 2009: 853-860

Selection of 11 from 120 records - Héctor Pomares has 82 coauthors

Last update 2012-09-10 CET by the DBLP TeamThis material is Open Data Content released under the ODC-BY 1.0 license — See also our legal information page