Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
IEEE Transactions on Biomedical Engineering2020Vol. 68(6), pp. 1787–1798
Citations Over TimeTop 1% of 2020 papers
Abstract
As a consequence, it would enable one to improve the quality of automatic sleep staging models when the amount of data is relatively small.11The source code and the pretrained models are published at https://github.com/pquochuy/sleep_transfer_learning.
Related Papers
- → ESKVS: efficient and secure approach for keyframes-based video summarization framework(2024)9 cited
- Using DataGrid Control to Realize DataBase of Querying in VB6.0(2000)
- Susquehanna Chorale Spring Concert "Roots and Wings"(2017)
- → DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION(2018)
- → ИСПОЛЬЗОВAНИЕ ПОТЕНЦИAЛA СОЦИAЛЬНЫХ ПAРТНЕРОВ В ПОДГОТОВКЕ БУДУЩИХ ПЕДAГОГОВ(2024)