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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

CARHUANCHO, C. A.; VILLANUEVA, E. R.; YARLEQUÉ, C. P.; PRINCIPE, R. E.; CASTROMONTE, M. C.(2025). Generating high-resolution climate data in the Andes using artificial intelligence: A lightweight alternative to the WRF model. Artificial Intelligence in Geosciences. Volumen: 6. (pp. 100143). Recuperado de: https://www.sciencedirect.com/science/article/pii/S2666544125000395
MAMANI, Y. y VILLANUEVA, E. R.(2025). An Unsupervised Model Based on Knowledge Graph and Concepts for Sentiment Analysis. IEEE Open Journal of the Computer Society. Volumen: 6. (pp. 1561 - 1574). Recuperado de: https://ieeexplore.ieee.org/document/11185289
VILLAVICENCIO, J. A.; MIRANDA, O. E.; VILLANUEVA, E. R.(2025). The adaptive markets hypothesis through the lens of machine learning. HELIYON. Volumen: 12. Recuperado de: https://www.sciencedirect.com/science/article/pii/S2405844025026842
Pérez, P.; Moreira, A.; Teixeira, F.; Miranda, R.; Andrade, M. F.; Espezua, S.; VILLANUEVA, E. R.; Kumar, P.(2025). Spatial and temporal mapping of transport emissions and application of air quality models using low cost sensor data. Case Studies on Transport Policy. Volumen: 22. (pp. 101622). Recuperado de: https://www.sciencedirect.com/science/article/pii/S2213624X25002597
MAMANI, Y. y VILLANUEVA, E. R.(2024). A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques. IEEE Access. Volumen: 12. (pp. 193115 - 193130). Recuperado de: https://ieeexplore.ieee.org/abstract/document/10786014
APAZA, J. P. y VILLANUEVA, E. R.(2024). Detection of Geometric Elements in Axonometric Projection Images Using Computer Vision Techniques. En 12th IEEE Andescon, ANDESCON 2024. (pp. 1 - 6). Institute of Electrical and Electronics Engineers Inc.. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10755621
ESPEZUA, S.; Caballero, R. F.; VILLANUEVA, E. R.(2024). Enhanced Calibration Techniques for Low-Cost Particulate Matter Monitors. En 2024 IEEE XXXI International Conference on Electronics, Electrical Engineering and Computing (INTERCON). (pp. 1 - 8). Institute of Electrical and Electronics Engineers Inc.. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10833487
RODRIGUEZ, G. P. G.; VILLANUEVA, E. R.; BALDEON, J. P.(2024). Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution. En 6th International Conference, HCI-Games 2024, Held as Part of the 26th HCI International Conference, HCII 2024. (pp. 275 - 294). CHAM. Springer. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-031-60692-2_19