Using Under-Trained Deep Ensembles to Learn under Extreme Label Noise: A Case Study for Sleep Apnea Detection

Using Under-Trained Deep Ensembles to Learn under Extreme Label Noise: A Case Study for Sleep Apnea Detection

10.1109/access.2021.3067455

Saved in:
Bibliographic Details
Main Authors: Nikolaidis, Konstantinos, Plagemann, Thomas, Kristiansen, Stein, Goebel, Vera, Kankanhalli, Mohan
Other Authors: DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Biomedical informatics
label noise
machine learning
sleep apnea
supervised learning
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232870
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/232870

Similar Items