Dmitry Devyatkin, Yulia Otmakhova, Natalia Usenko, Ilya Sochenkov, Vladimir Budzko. Deep learning approaches to mid-term forecasting of social-economic and demographic effects of a pandemic. In Alexei V. Samsonovich, Valentin V. Klimov, editors, Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA 2020, Eleventh Annual Meeting of the BICA Society, November 10-15, 2020, Virtual Event / Natal, Rio Grande do Norte, Brazil. Volume 190 of Procedia Computer Science, pages 156-163, Elsevier, 2020. [doi]
@inproceedings{DevyatkinOUSB20,
title = {Deep learning approaches to mid-term forecasting of social-economic and demographic effects of a pandemic},
author = {Dmitry Devyatkin and Yulia Otmakhova and Natalia Usenko and Ilya Sochenkov and Vladimir Budzko},
year = {2020},
doi = {10.1016/j.procs.2021.06.020},
url = {https://doi.org/10.1016/j.procs.2021.06.020},
researchr = {https://researchr.org/publication/DevyatkinOUSB20},
cites = {0},
citedby = {0},
pages = {156-163},
booktitle = {Proceedings of the 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA 2020, Eleventh Annual Meeting of the BICA Society, November 10-15, 2020, Virtual Event / Natal, Rio Grande do Norte, Brazil},
editor = {Alexei V. Samsonovich and Valentin V. Klimov},
volume = {190},
series = {Procedia Computer Science},
publisher = {Elsevier},
}