Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis
Author:
Affiliation:
1. Georgia Institute of Technology, Atlanta, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3584371.3613015
Reference34 articles.
1. Alican Akman Harry Coppock Alexander Gaskell Panagiotis Tzirakis Lyn Jones etal 2022. Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges. Frontiers in Digital Health 4 (2022). Alican Akman Harry Coppock Alexander Gaskell Panagiotis Tzirakis Lyn Jones et al. 2022. Evaluating the covid-19 identification resnet (cider) on the interspeech covid-19 from audio challenges. Frontiers in Digital Health 4 (2022).
2. Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings
3. SMOTE: Synthetic Minority Over-sampling Technique
4. Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing
5. Felipe Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut etal 2022. Explainable artificial intelligence methods in combating pandemics: A systematic review. IEEE Reviews in Biomedical Engineering (2022). Felipe Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut et al. 2022. Explainable artificial intelligence methods in combating pandemics: A systematic review. IEEE Reviews in Biomedical Engineering (2022).
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