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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 50 publicaciones

HINOJOSA, E. y BELTRAN, C. A.(2014). A case study on Morphological Data from Eimeria of Domestic Fowl using a multiobjective genetic algorithm and R&P for learning and tuning fuzzy rules for classification. En 1st Symposium on Information Management and Big Data, SIMBig 2014. (pp. 53 - 57). CEUR-WS. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84919676071&origin=resultslist&sort=plf-f&src=s&
ARCE, D. M.; SOLANO, L. J.; 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).
ALEJO, A. M. y BELTRAN, C. A.(2024). A Deep Learning Approach to Distance Map Generation Applied to Automatic Fiber Diameter Computation from Digital Micrographs. SENSORS. Volumen: 24. (pp. 1 - 9). Recuperado de: https://www.mdpi.com/1424-8220/24/17/5497
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
PINEDA, F. E.; AYMA, V. A.; BELTRAN, C. A.(2020). A generative adversarial network approach for super-resolution of sentinel-2 satellite images. En 2020 24th ISPRS Congress - Technical Commission I, 31 August 2020 - 2 September 2020. (pp. 9 - 14). International Society for Photogrammetry and Remote Sensing. Recuperado de: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/9/2020/
GARATE, D. A.; INCAHUANACO, F.; MEDINA, R. A.; BELTRAN, C. A.(2015). A heuristic model for determining the sperm motility grade by video. En Latin American Computing Conference (CLEI), 2015 . (pp. 1 - 6). IEEE. Recuperado de: http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=7360039&tag=1
PUENTERNAN, W. y BELTRAN, C. A.(2019). A mixed model based on shape context and spark for sketch based image retrieval. En 5th International Conference on Information Management and Big Data, SIMBig 2018; Lima; Peru; 3 September 2018 through 5 September 2018; Code 223899. (pp. 341 - 348). Springer Verlag. Recuperado de: https://link.springer.com/chapter/10.1007/978-3-030-11680-4_32
Guzman, R.; Portugal, C.; Gutierrez, J. C.; BELTRAN, C. A.(2014). An approach for improve the recognition of defects in coffee beans using retinex algorithms. En XL Conferencia Latinoamericana de Informática - CLEI 2014. Computación Gráfica, Realidad Virtual y Procesamiento de Imágenes. (pp. 1 - 6). MONTEVIDEO. IEEE. Recuperado de: http://www.scopus.com/record/display.url?eid=2-s2.0-84919431178&origin=resultslist&sort=plf-f&src=s&