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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 27 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
CHAPI, D. M.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2021). Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets. En Information Management and Big Data. (pp. 154 - 168). CHAM. Springer International Publishing. Recuperado de: https://doi.org/10.1007/978-3-030-76228-5_11
CHAPI, D. M.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2021). Modeling and Predicting the Lima Stock Exchange General Index with Bayesian. En 7th Annual International Conference on Information Management and Big Data. (pp. 154 - 168). Cham. Springer International Publishing. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-030-76228-5_11
CHAPI, D. M.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2021). Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets. En Conference of 7th Annual International Conference on Information Management and Big Data, SIMBig 2020. (pp. 154 - 168). Springer, Cham. Recuperado de: https://link-springer-com.ezproxybib.pucp.edu.pe/chapter/10.1007%2F978-3-030-76228-5_11
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