Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2012.14553
Cited By
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks
29 December 2020
Björn W. Schuller
H. Coppock
Alexander Gaskell
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks"
8 / 8 papers shown
Title
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview
Kun Qian
Bjorn W. Schuller
Yoshiharu Yamamoto
58
17
0
08 Dec 2020
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Chloë Brown
Jagmohan Chauhan
Andreas Grammenos
Jing Han
Apinan Hasthanasombat
Dimitris Spathis
Tong Xia
Pietro Cicuta
Cecilia Mascolo
64
411
0
10 Jun 2020
An Overview on Audio, Signal, Speech, & Language Processing for COVID-19
Gauri Deshpande
Björn Schuller
52
79
0
18 May 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
F. Shi
Jun Wang
Jun Shi
Zi-xiang Wu
Qian Wang
Zhenyu Tang
Kelei He
Yinghuan Shi
Dinggang Shen
71
1,057
0
06 Apr 2020
COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
Björn W. Schuller
Dagmar M. Schuller
Kun Qian
Juan Liu
Huaiyuan Zheng
Xiao Li
8
121
0
24 Mar 2020
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
139
1,077
0
04 Jul 2018
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
978
39,383
0
01 Sep 2014
1