S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models.
Tiezhi WangNils StrodthoffPublished in: CoRR (2023)
Keyphrases
- classification models
- design space
- sleep stage
- deep learning
- sleep apnea
- unsupervised learning
- decision trees
- unsupervised feature learning
- training data
- feature selection
- machine learning
- design process
- design space exploration
- design tools
- weakly supervised
- feature set
- search space
- supervised learning
- probabilistic model
- feature vectors
- pairwise
- image processing
- computer vision