Epidemic Amplifier Detection: Finding High-Risk Locations in COVID-19 Cases' Location Sequences via Multi-task Learning

Yue Hu, Xiaoli Wang, Huimin Ren, Tianfu He, Tan Tang, Huajun He, Chuishi Meng, Boyang Han, Jie Bao 0003, Ying Sun, Gang Li, Quanyi Wang, Peng Yang, Yu Zheng 0004. Epidemic Amplifier Detection: Finding High-Risk Locations in COVID-19 Cases' Location Sequences via Multi-task Learning. In Matthias Renz, Mario A. Nascimento, editors, Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2023, Hamburg, Germany, November 13-16, 2023. ACM, 2023. [doi]

@inproceedings{HuWRHTHMHBSLWYZ23,
  title = {Epidemic Amplifier Detection: Finding High-Risk Locations in COVID-19 Cases' Location Sequences via Multi-task Learning},
  author = {Yue Hu and Xiaoli Wang and Huimin Ren and Tianfu He and Tan Tang and Huajun He and Chuishi Meng and Boyang Han and Jie Bao 0003 and Ying Sun and Gang Li and Quanyi Wang and Peng Yang and Yu Zheng 0004},
  year = {2023},
  doi = {10.1145/3589132.3625632},
  url = {https://doi.org/10.1145/3589132.3625632},
  researchr = {https://researchr.org/publication/HuWRHTHMHBSLWYZ23},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2023, Hamburg, Germany, November 13-16, 2023},
  editor = {Matthias Renz and Mario A. Nascimento},
  publisher = {ACM},
}