Darina Kapusta, Alireza Mohammadi, Dmytro Chumachenko. Machine Learning Approach to COVID-19 Epidemic Process Simulation using Polynomial Regression Model. In Dmytro Chumachenko, Oleksandr Sokolov, Natalia Kryvinska, Serhii Yakovlev, editors, Proceedings of the International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2021) 2021, Kharkiv, Ukraine, September 20-21, 2021. Volume 3003 of CEUR Workshop Proceedings, pages 83-91, CEUR-WS.org, 2021. [doi]
@inproceedings{KapustaMC21,
title = {Machine Learning Approach to COVID-19 Epidemic Process Simulation using Polynomial Regression Model},
author = {Darina Kapusta and Alireza Mohammadi and Dmytro Chumachenko},
year = {2021},
url = {http://ceur-ws.org/Vol-3003/short2.pdf},
researchr = {https://researchr.org/publication/KapustaMC21},
cites = {0},
citedby = {0},
pages = {83-91},
booktitle = {Proceedings of the International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2021) 2021, Kharkiv, Ukraine, September 20-21, 2021},
editor = {Dmytro Chumachenko and Oleksandr Sokolov and Natalia Kryvinska and Serhii Yakovlev},
volume = {3003},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}