Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach

Seunghyeon Lee, Fang Chen. Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach. In Guodong Long, Xinghuo Yu 0001, Sen Wang 0001, editors, AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings. Volume 13151 of Lecture Notes in Computer Science, pages 356-367, Springer, 2022. [doi]

@inproceedings{LeeC22-4,
  title = {Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach},
  author = {Seunghyeon Lee and Fang Chen},
  year = {2022},
  doi = {10.1007/978-3-030-97546-3_29},
  url = {https://doi.org/10.1007/978-3-030-97546-3_29},
  researchr = {https://researchr.org/publication/LeeC22-4},
  cites = {0},
  citedby = {0},
  pages = {356-367},
  booktitle = {AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings},
  editor = {Guodong Long and Xinghuo Yu 0001 and Sen Wang 0001},
  volume = {13151},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-97546-3},
}