Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

17 May 2021

Papers citing "Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification"

6 / 6 papers shown

Title
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu Yu Rong Zhuoning Guo Nuo Chen Tingyang Xu Fugee Tsung Jia Li 47 11 0 12 Dec 2022
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification Lara Orlandic T. Teijeiro David Atienza 46 9 0 09 Sep 2022
Fused Audio Instance and Representation for Respiratory Disease Detection Tuan Truong Matthias Lenga A. Serrurier Sadegh Mohammadi 16 0 0 22 Apr 2022
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks Björn W. Schuller H. Coppock Alexander Gaskell 41 63 0 29 Dec 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 101 99 0 25 Jul 2020
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System Justice Amoh K. Odame HAI 32 53 0 08 Sep 2015