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CESAR ARMANDO BELTRAN CASTAÑON

CESAR ARMANDO BELTRAN CASTAÑON

CESAR ARMANDO BELTRAN CASTAÑON

Doctor en Bioinformática, Universidad de Sao Paulo

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MESTRE EN CIENCIAS - CIENCIA DE LA COMPUTACAO (instituto de ciencias matematicas e de computacao - Universidad de sao paulo)

Ingeniero de Sistemas
DOCENTE ORDINARIO - PRINCIPAL
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Informática

Publicaciones

Se encontraron 44 publicaciones

BELTRAN, C. A.(2023). A Comparison Study between Traditional and Deep-Reinforcement-Learning-Based Algorithms for Indoor Autonomous Navigation in Dynamic Scenarios. SENSORS. Volumen: 23. (pp. 9672).
AYMA, V. A.; Pedro, G.; BELTRAN, C. A.(2022). A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data. Remote Sensing. Volumen: 9. (pp. 2153 - 2153). Recuperado de: https://www.mdpi.com/2072-4292/14/9/2153
HUAMAN, M. H. S.; CABRERA, J. J.; IBÁÑEZ, 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 - 1522). New Orleans. IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9857127
ARCE, D. M.; BALBUENA, J. G.; MENACHO, D. T.; CABALLERO, L. S.; CISNEROS, E. F. S.; HUANCA, D. A.; ALVITES, M. S.; BELTRAN, C. A.; CUELLAR, F. F.(2022). Design and Implementation of Telemarketing Robot with Emotion Identification for Human-Robot Interaction. En 2022 Sixth IEEE International Conference on Robotic Computing (IRC). (pp. 177 - 180). IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10023733
BALBUENA, J. G. y BELTRAN, C. A.(2022). Deep Learning Models for Emotion Classification in Human Robot Interaction Platforms. En 2022 2nd International Conference on Image Processing and Robotics (ICIPRob). (pp. 1 - 6). NEW YORK. IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/9798741
Incahuanaco, F.; Hinojosa, E.; Pilares, D.; BELTRAN, C. A.(2022). CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust. Communications in Computer and Information Science. (pp. 340 - 355).
Suaña, J. L.; Gutierrez, J. C.; BELTRAN, C. A.(2022). Densenet 3D for Violent Action Recognition in Surveillance Video Sequences. En 2022 41st International Conference of the Chilean Computer Science Society (SCCC). (pp. 1 - 8). SANTIAGO. IEEE. Recuperado de: https://ieeexplore.ieee.org/document/10000272
MEDINA, R. A.; BELTRAN, C. A.; FUMIO, R.(2021). An Approach to Growth Delimitation of Straight Line Segment Classifiers Based on a Minimum Bounding Box. ENTROPY. Volumen: 23. (pp. 1541 - 1549). Recuperado de: https://www.mdpi.com/1099-4300/23/11/1541