SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning

Author:

Lee SeongjuORCID,Yu YeongukORCID,Back SeunghyeokORCID,Seo HogeonORCID,Lee KyoobinORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference69 articles.

1. Multichannel sleep stage classification and transfer learning using convolutional neural networks;Andreotti,2018

2. Bahdanau, D., Cho, K. H., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In 3rd international conference on learning representations.

3. The AASM manual for the scoring of sleep and associated events;Berry;Rules, Terminology and Technical Specifications, Darien, Illinois, American Academy of Sleep Medicine,2012

4. Automatic analysis of single-channel sleep EEG: validation in healthy individuals;Berthomier;Sleep,2007

5. End-to-end object detection with transformers;Carion,2020

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1. START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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