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CESAR ARMANDO BELTRAN CASTAÑON

CESAR ARMANDO BELTRAN CASTAÑON

CESAR ARMANDO BELTRAN CASTAÑON


Doctor en Bioinformática (Universidad de Sao Paulo); Ingeniero de Sistemas (UNIVERSIDAD CATOLICA DE SANTA MARIA) y MESTRE EN CIENCIAS - CIENCIA DE LA COMPUTACAO (instituto de ciencias matematicas e de computacao - Universidad de sao paulo)
DOCENTE ORDINARIO - PRINCIPAL
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Informática

Publicaciones

Se encontraron 29 publicaciones

HINOJOSA, E. y BELTRAN, C. A.(2014). A case study on Morphological Data from Eimeria of Domestic Fowl using a multiobjective genetic algorithm and R&P for learning and tuning fuzzy rules for classification. En 1st Symposium on Information Management and Big Data, SIMBig 2014. (pp. 53 - 57). CEUR-WS. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84919676071&origin=resultslist&sort=plf-f&src=s&
Guzman, R.; Portugal, C.; Gutierrez, J. C.; BELTRAN, C. A.(2014). An approach for improve the recognition of defects in coffee beans using retinex algorithms. En XL Conferencia Latinoamericana de Informática - CLEI 2014. Computación Gráfica, Realidad Virtual y Procesamiento de Imágenes. (pp. 1 - 6). MONTEVIDEO. IEEE. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84919431178&origin=resultslist&sort=plf-f&src=s&
Montes, R.; Chuctaya, J. H.; Portugal, C.; Gutierrez, J. C.; BELTRAN, C. A.(2014). Automatic classification of physical defects in green coffee beans using CGLCM and. En XL Conferencia Latinoamericana de Informática - CLEI 2014. Investigación de Operaciones e Inteligencia Artificial. (pp. 1 - 6). MONTEVIDEO. IEEE. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84919460692&origin=resultslist&sort=plf-f&src=s&
Flores, R.; Velazco, Y.; Patiño, R.; BELTRAN, C. A.(2014). Classification of human parasite eggs based on enhanced multitexton histogram. En IEEE Colombian Conference on Communications and Computing (COLCOM), 2014. (pp. 1 - 6). BOGOTA. IEEE. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84905842672&origin=resultslist&sort=plf-f&src=s&
Portugal, C.; Gutierrez, J. C.; BELTRAN, C. A.; Tupac, Y.(2014). Classifier system for normality pre-diagnosis from MRI brain images in cerebral pathology studies. En LA-CCI 2014 - The Latin American Congress on Computational Intelligence.. (pp. 1 - 6). SAN CARLOS DE BARILOCHE. IEEE. Recuperado de: http://www.researchgate.net/publication/273726638_Classifier_system_for_normality_pre-diagnosis_from
Portugal, C.; Gutierrez, J. C.; BELTRAN, C. A.(2014). Computer Aided Medical Diagnosis Tool to Detect Normal/Abnormal Studies in Digital MR Brain Images. En 27th International Symposium on Computer-Based Medical Systems - CBMS 2014. (pp. 501 - 502). IEEE. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84907380499&origin=resultslist&sort=plf-f&src=s&
Guevara, K. y BELTRAN, C. A.(2014). Discovery of sequential patterns with quantity factor. En 1st Symposium on Information Management and Big Data, SIMBig 2014. (pp. 33 - 41). CEUR-WS. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84919663881&origin=resultslist&sort=plf-f&src=s&
BELTRAN, C. A. y JUAREZ, R. M.(2014). Using Complex Networks for Offline Handwritten Signature Characterization. En CIARP 2014. 10th Iberoamerican Congress on Pattern Recognition. (pp. 580 - 587). PUERTO VALLARTA. CIARP. Recuperado de: http://link.springer.com/chapter/10.1007%2F978-3-319-12568-8_71