Sustaining model performance for covid-19 detection from dynamic audio
data: Development and evaluation of a comprehensive drift-adaptive framework

Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework

28 September 2024

Theofanis Ganitidis

Konstantinos Mitsis

Konstantina S. Nikita

Papers citing "Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework"

11 / 11 papers shown

Title
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 60 10 0 09 Sep 2022
Active learning-assisted neutron spectroscopy with log-Gaussian processes Mario Teixeira Parente G. Brandl C. Franz U. Stuhr M. Ganeva A. Schneidewind 22 10 0 02 Sep 2022
Sounds of COVID-19: exploring realistic performance of audio-based digital testing Jing Han Tong Xia Dimitris Spathis E. Bondareva Chloë Brown ... Andreas Grammenos Apinan Hasthanasombat Andres Floto Pietro Cicuta Cecilia Mascolo 51 93 0 29 Jun 2021
Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge N. Sharma Ananya Muguli Prashant Krishnan Rohit Kumar Srikanth Raj Chetupalli Sriram Ganapathy 61 14 0 21 Jun 2021
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 93 1,134 0 30 Aug 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 64 410 0 10 Jun 2020
Learning under Concept Drift: A Review Jie Lu Anjin Liu Fan Dong Feng Gu João Gama Guangquan Zhang AI4TS 57 1,274 0 13 Apr 2020
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 117 1,040 0 02 Jan 2018
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 2,997 0 07 Aug 2017
Removal of Batch Effects using Distribution-Matching Residual Networks Uri Shaham Kelly P. Stanton Jun Zhao Huamin Li K. Raddassi Ruth R. Montgomery Y. Kluger 45 162 0 13 Oct 2016
CNN Architectures for Large-Scale Audio Classification Shawn Hershey Sourish Chaudhuri D. Ellis J. Gemmeke A. Jansen ... Rif A. Saurous Bryan Seybold M. Slaney Ron J. Weiss K. Wilson 111 2,494 0 29 Sep 2016