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A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
Springer (2022)Modeling the spread of infectious diseases in space and time needs to take care of complex dependencies and uncertainties. Machine learning methods, and neural networks, in particular, are useful in modeling this sort of ...