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STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures. In this work, we develop a tensor method to predict the evolution of epidemic trends for many regions simultaneously. We construct a 3-way spatio-temporal tensor (...

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Bibliografiska uppgifter
I publikationen:ArXiv
Huvudupphovsmän: Kargas, Nikos, Qian, Cheng, Sidiropoulos, Nicholas D., Xiao, Cao, Glass, Lucas M., Sun, Jimeng
Materialtyp: Artigo
Språk:Inglês
Publicerad: Cornell University 2020
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7987089/
https://ncbi.nlm.nih.gov/pubmed/33758769
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