Imperial College London
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ProfessorBjoernSchuller

Faculty of Engineering, Department of Computing

Professor of Artificial Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 8357bjoern.schuller Website

 
 
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Location

 

574Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Coppock:2021:10.1136/bmjinnov-2021-000668,
author = {Coppock, H and Gaskell, A and Tzirakis, P and Baird, A and Jones, L and Schuller, B},
doi = {10.1136/bmjinnov-2021-000668},
journal = {BMJ INNOVATIONS},
pages = {356--362},
title = {End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study},
url = {http://dx.doi.org/10.1136/bmjinnov-2021-000668},
volume = {7},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Coppock,H
AU  - Gaskell,A
AU  - Tzirakis,P
AU  - Baird,A
AU  - Jones,L
AU  - Schuller,B
DO  - 10.1136/bmjinnov-2021-000668
EP  - 362
PY  - 2021///
SN  - 2055-8074
SP  - 356
TI  - End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study
T2  - BMJ INNOVATIONS
UR  - http://dx.doi.org/10.1136/bmjinnov-2021-000668
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000850827000020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 7
ER  -
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