Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets - researchr publication authors

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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]

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