SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification.
Choel-Hui LeeHyun-Ji KimYoung-Tak KimHakseung KimJung-Bin KimDong-Joo KimPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- deep learning
- sleep stage
- unsupervised learning
- machine learning
- class labels
- support vector machine
- restricted boltzmann machine
- decision trees
- text classification
- supervised learning
- sleep apnea
- image classification
- pattern recognition
- data sets
- support vector
- multiscale
- feature selection
- feature set
- feature vectors
- pairwise
- model selection
- training set
- feature space
- unsupervised feature learning