Automated Machine Learning for COVID-19 Forecasting

Automated Machine Learning for COVID-19 Forecasting

In the context of the current COVID-19 pandemic, various sophisticated epidemic and machine learning models have been used for forecasting. These models, however, rely on carefully selected architectures and detailed data that is often only available for specific regions. Automated machine learning...

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Bibliographic Details
Main Authors: Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Automated machine learning
time series forecasting
concept drift
COVID-19
mobility data
Online Access:https://ieeexplore.ieee.org/document/9868791/

Internet

https://ieeexplore.ieee.org/document/9868791/

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