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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 32 publicaciones

VARGAS, I. R. y VILLANUEVA, E. R.(2021). Comparative Study of Spatial Prediction Models for Estimating PM 2.5 Concentration Level in Urban Areas. En 7th Annual International Conference on Information Management and Big Data. (pp. 169 - 180). Springer, Cham. Recuperado de: https://link.springer.com/chapter/10.1007%2F978-3-030-76228-5_12
MONTALVO, L. G. y VILLANUEVA, E. R.(2020). Drug Recommendation System for Geriatric Patients Based on Bayesian Networks and Evolutionary Computation. En Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing. (pp. 492 - 497). NEW YORK. Springer, Cham. Recuperado de: https://link.springer.com/chapter/10.1007%2F978-3-030-39512-4_77#citeas
SAROMO, D. A.; VILLOTA, E. R.; VILLANUEVA, E. R.(2019). Auto-Rotating Perceptrons. En LatinX in AI Research Workshop at NeurIPS 2019. Cornell University. Recuperado de: https://arxiv.org/abs/1910.02483
ESPICHAN, A. M. y VILLANUEVA, E. R.(2018). A novel ensemble method for high-dimensional genomic data classification. En 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. (pp. 2229 - 2236). NEW YORK. IEEE Inc.. Recuperado de: https://ieeexplore-ieee-org.ezproxybib.pucp.edu.pe/document/8621386
Aduviri, R.; MATOS, E. D. J.; VILLANUEVA, E. R.(2018). Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels. En 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. (pp. 2726 - 2728). NEW YORK. IEEE Inc.. Recuperado de: https://ieeexplore-ieee-org.ezproxybib.pucp.edu.pe/document/8621397
ESPEZUA, S. y VILLANUEVA, E. R.(2015). A PROJECTION PURSUIT FRAMEWORK FOR SUPERVISED DIMENSION REDUCTION OF HIGH DIMENSIONAL SMALL SAMPLE DATASETS. Neurocomputing. Volumen: 149, Part B. (pp. 767 - 776).
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).