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/2072-4292/14/9/2153Incahuanaco, 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