Automatic Sleep Stage Classification using Weighted ELM and PSO on Imbalanced Data from Single Lead ECG.
Oei Kurniawan UtomoNico SuranthaSani Muhamad IsaBenfano SoewitoPublished in: ICCSCI (2019)
Keyphrases
- imbalanced data
- sleep stage
- imbalanced datasets
- classification models
- class imbalance
- support vector machine svm
- machine learning
- sleep apnea
- imbalanced data sets
- class distribution
- svm classifier
- decision trees
- pattern classification
- ensemble methods
- feature selection
- generalization ability
- machine learning methods
- high dimensionality
- linear regression
- classification accuracy
- training samples
- feature extraction
- decision boundary
- training data
- random forest
- data sets
- data streams
- feature space
- decision rules
- text classification