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EDWIN RAFAEL VILLANUEVA TALAVERA

EDWIN RAFAEL VILLANUEVA TALAVERA

EDWIN RAFAEL VILLANUEVA TALAVERA

DOUTOR EM CIÊNCIAS, Universidade de Sao Paulo-Escola de Engenharia de Sao Carlo

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Mestre em Engenharia Elétrica (Universidade de Sao Paulo-Escola de Engenharia de Sao Carlo)

DOCENTE ORDINARIO - ASOCIADO
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Informática

Publicaciones

Se encontraron 26 publicaciones

ESPEZUA, S.; VILLANUEVA, E. R.; Dias, C.; CPLF, A.(2015). A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing. Volumen: 149. (pp. 767 - 776). Recuperado de: https://www.scopus.com/record/display.uri?eid=2-s2.0-85027943239&origin=inward&txGid=d1a8499e4605e9bcfb15b43815d9dfdf
VILLANUEVA, E. R.(2014). EFFICIENT METHODS FOR LEARNING BAYESIAN NETWORK SUPER-STRUCTURES. Neurocomputing. Volumen: 123. (pp. 3 - 12).
VILLANUEVA, E. R. y Dias, C.(2014). Efficient methods for learning Bayesian network super-structures. Neurocomputing. Volumen: 123. (pp. 3 - 12).
ESPEZUA, S. y VILLANUEVA, E. R.(2014). TOWARDS AN EFFICIENT GENETIC ALGORITHM OPTIMIZER FOR SEQUENTIAL PROJECTION PURSUIT. Neurocomputing. Volumen: 123. (pp. 40 - 48).
ESPEZUA, S.; VILLANUEVA, E. R.; Dias, C.(2014). Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing. Volumen: 123. (pp. 40 - 48).
ESPEZUA, S.; VILLANUEVA, E. R.; Dias, C.(2012). On the crossover operator for Ga-based optimizers in sequential projection pursuit. En 1st International Conference on Pattern Recognition Applications and Methods. (pp. 93 - 102). SCITEPRESS digital library.
VILLANUEVA, E. R. y Dias, C.(2012). Optimized algorithm for learning Bayesian network super-structures. En 1st International Conference on Pattern Recognition Applications and Methods. (pp. 217 - 222). SCITEPRESS digital library.
VILLANUEVA, E. R. y Dias, C.(2011). Modeling associations between genetic markers using Bayesian networks. Bioinformatics. Volumen: 27. (pp. 632 - 637).