A Comparison of Feature Ranking and Rank Aggregation Techniques in Automatic Sleep Stage Classification Based on Polysomnographic Signals.
Shirin NajdiAli Abdollahi GharbaliJosé Manuel FonsecaPublished in: IWBBIO (2016)
Keyphrases
- sleep stage
- feature ranking
- rank aggregation
- sleep apnea
- feature selection
- classification models
- support vector machine
- decision trees
- feature subset selection
- fold cross validation
- classification accuracy
- web search
- signal processing
- support vector machine svm
- multi layer perceptron
- high dimensionality
- feature subset
- eeg signals
- genetic algorithm ga
- gene selection
- classification method
- data sets
- text classification
- image classification
- training set
- feature space
- genetic algorithm
- machine learning