Cuauhtemoc Daniel Suarez-Ramirez, Mario Alberto Duran-Vega, Héctor M. Sánchez C., Miguel González-Mendoza, Leonardo Chang, John M. Marshall. Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets. In Ildar Z. Batyrshin, Alexander F. Gelbukh, Grigori Sidorov, editors, Advances in Computational Intelligence - 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings, Part I. Volume 13067 of Lecture Notes in Computer Science, pages 199-212, Springer, 2021. [doi]
@inproceedings{Suarez-RamirezD21,
title = {Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets},
author = {Cuauhtemoc Daniel Suarez-Ramirez and Mario Alberto Duran-Vega and Héctor M. Sánchez C. and Miguel González-Mendoza and Leonardo Chang and John M. Marshall},
year = {2021},
doi = {10.1007/978-3-030-89817-5_15},
url = {https://doi.org/10.1007/978-3-030-89817-5_15},
researchr = {https://researchr.org/publication/Suarez-RamirezD21},
cites = {0},
citedby = {0},
pages = {199-212},
booktitle = {Advances in Computational Intelligence - 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings, Part I},
editor = {Ildar Z. Batyrshin and Alexander F. Gelbukh and Grigori Sidorov},
volume = {13067},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-89817-5},
}