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Ananya Muguli
Ananya Muguli
在 rice.edu 的电子邮件经过验证
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DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
A Muguli, L Pinto, N Sharma, P Krishnan, PK Ghosh, R Kumar, S Bhat, ...
arXiv preprint arXiv:2103.09148, 2021
1032021
Multi-modal point-of-care diagnostics for COVID-19 based on acoustics and symptoms
SR Chetupalli, P Krishnan, N Sharma, A Muguli, R Kumar, V Nanda, ...
IEEE Journal of Translational Engineering in Health and Medicine 11, 199-210, 2023
202023
Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
NK Sharma, A Muguli, P Krishnan, R Kumar, SR Chetupalli, S Ganapathy
Computer Speech & Language 73, 101320, 2022
172022
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds.
F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ...
Interspeech 6, 4246-4250, 2021
102021
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics. arXiv 2021
A Muguli, L Pinto, N Sharma, P Krishnan, PK Ghosh, R Kumar, S Bhat, ...
arXiv preprint arXiv:2103.09148, 0
10
A Novel Cardiac Arrhythmia Classification Method Using Visibility Graphs and Graph Convolutional Network
D EPMoghaddam, A Muguli, B Aazhang
2023 57th Asilomar Conference on Signals, Systems, and Computers, 866-870, 2023
12023
A graph-based cardiac arrhythmia classification methodology using one-lead ECG recordings
D EPMoghaddam, A Muguli, M Razavi, B Aazhang
Intelligent Systems with Applications 22, 200385, 2024
2024
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