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...
Main Authors: | Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9868791/ |
Similar Items
-
Adaptive Machine Learning for Automated Modeling of Residential Prosumer Agents
by: David Toquica, et al.
Published: (2020-05-01) -
An Adaptive Learning Time Series Forecasting Model Based on Decoder Framework
by: Jianlong Hao, et al.
Published: (2025-01-01) -
Forecasting Long Haul Truckload Spot Market Rates
by: Rana, Shraddha, et al.
Published: (2020) -
Frouros: An open-source Python library for drift detection in machine learning systems
by: Jaime Céspedes Sisniega, et al.
Published: (2024-05-01) -
Forecasting patient flows with pandemic induced concept drift using explainable machine learning
by: Teo Susnjak, et al.
Published: (2023-04-01)