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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 35 publicaciones

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
DEL RIO, S. A. y VILLANUEVA, E. R.(2021). A Novel Method to Estimate Parents and Children for Local Bayesian Network Learning. En Intelligent Systems and Applications Conference (IntelliSys 2021). (pp. 468 - 485). Springer, Cham. Recuperado de: https://link.springer.com/chapter/10.1007%2F978-3-030-82196-8_35
Colchado, L.; VILLANUEVA, E. R.; Ochoa, J.(2021). A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. En 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA). (pp. 1 - 10). Porto. IEEE COMPUTER SOC. Recuperado de: https://ieeexplore.ieee.org/abstract/document/9564200
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