1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Deep Learning for Virus-Spreading Forecasting: a Brief Survey
Federico Baldo, Lorenzo Dall'Olio, Mattia Ceccarelli +5
The advent of the coronavirus pandemic has sparked the interest in predictive models capable of forecasting virus-spreading, especially for boosting and supporting decision-making…
q-bio.PE2020
Containment effort reduction and regrowth patterns of the Covid-19 spreading
D. Lanteri, D. Carcò, P. Castorina +2
In all Countries the political decisions aim to achieve an almost stable configuration with a small number of new infected individuals per day due to Covid-19. When such a conditio…