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Automatic Sleep Stage Classification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
Evaluating sleep-stage classification: how age and early-late sleep affects classification performance
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages
Contrastive Learning for Sleep Staging based on Inter Subject Correlation
Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training
Time-Series Representation Learning via Temporal and Contextual Contrasting
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG
RobustSleepNet: Transfer learning for automated sleep staging at scale
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device
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