A summary of the ComParE COVID-19 challenges

A summary of the ComParE COVID-19 challenges

The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning field which has been explored is the prospect of a d...

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Bibliographic Details
Main Authors: Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Digital Health
Subjects:
COVID-19
machine learning
Digital Health
computer audition
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1058163/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2023.1058163/full

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