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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 31 publicaciones

ULLOA, A. E.; ESPEZUA, S.; VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2022). Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. En 8th Annual International Conference on Information Management and Big Data. (pp. 34 - 39). NUEVA YORK. Springer, Cham. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-031-04447-2_3
HUAMAN, M. H. S.; CABRERA, J. J.; IBAÑEZ, D. H.; JIMENEZ, A. B.; BELTRAN, C. A.; VILLANUEVA, E. R.(2022). Unpaired Faces to Cartoons: Improving XGAN. En 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). (pp. 1517 - 1526). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9857127
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
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 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