Jorge Ivan Avalos-López, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, Martín Carpio, S. Ivvan Valdez. Efficient Training of Deep Learning Models Through Improved Adaptive Sampling. In Edgar Roman-Rangel, Ángel Fernando Kuri Morales, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, editors, Pattern Recognition - 13th Mexican Conference, MCPR 2021, Mexico City, Mexico, June 23-26, 2021, Proceedings. Volume 12725 of Lecture Notes in Computer Science, pages 141-152, Springer, 2021. [doi]
@inproceedings{Avalos-LopezDOC21,
title = {Efficient Training of Deep Learning Models Through Improved Adaptive Sampling},
author = {Jorge Ivan Avalos-López and Alfonso Rojas Domínguez and Manuel Ornelas-Rodríguez and Martín Carpio and S. Ivvan Valdez},
year = {2021},
doi = {10.1007/978-3-030-77004-4_14},
url = {https://doi.org/10.1007/978-3-030-77004-4_14},
researchr = {https://researchr.org/publication/Avalos-LopezDOC21},
cites = {0},
citedby = {0},
pages = {141-152},
booktitle = {Pattern Recognition - 13th Mexican Conference, MCPR 2021, Mexico City, Mexico, June 23-26, 2021, Proceedings},
editor = {Edgar Roman-Rangel and Ángel Fernando Kuri Morales and José Francisco Martínez Trinidad and Jesús Ariel Carrasco-Ochoa and José Arturo Olvera-López},
volume = {12725},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-77004-4},
}