Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-grained Labels.
- DOI
- 10.1109/tase.2025.3566682
- Published
- 2025
- Container
- IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/tase.2025.3566682,
title = {Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-grained Labels.},
author = {Zan X and Wang D and Song C and Liu F and Xian X and Berry R},
year = {2025},
journal = {IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society},
doi = {10.1109/tase.2025.3566682},
url = {https://doi.org/10.1109/tase.2025.3566682}
}RIS
TY - JOUR TI - Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-grained Labels. AU - Zan X AU - Wang D AU - Song C AU - Liu F AU - Xian X AU - Berry R PY - 2025 JO - IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society DO - 10.1109/tase.2025.3566682 UR - https://doi.org/10.1109/tase.2025.3566682 ER -
APA
X, Z., D, W., C, S., F, L., X, X., & R, B. (2025). Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-grained Labels.. IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society. https://doi.org/10.1109/tase.2025.3566682
Source records
- pubmed · retrieved 2026-09-25T22:17:53.829Z
- europe-pmc · retrieved 2026-09-25T22:17:53.840Z