A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

24 September 2021

Papers citing "A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA"

7 / 7 papers shown

Title
DemOpts: Fairness corrections in COVID-19 case prediction models N. Awasthi S. Abrar Daniel Smolyak Vanessa Frias-Martinez 26 0 0 15 May 2024
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data Khanh-Tung Tran Truong Son-Hy Lili Jiang Xuan-Son Vu AI4CE 18 2 0 23 Oct 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 18 0 0 06 Aug 2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study V. Nguyen Truong Son-Hy Long Tran-Thanh N. Nghiem 29 5 0 12 May 2023
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes Junwei Ma Bo Li Qingchun Li Chao Fan Ali Mostafavi 11 2 0 20 Sep 2022
COVID-19 Modeling: A Review LongBing Cao Qing Liu 40 44 0 16 Apr 2021
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 90 1,072 0 11 Sep 2019