Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost.
Fernando Vaquerizo-VillarDaniel ÁlvarezLeila Kheirandish-GozalGonzalo C. Gutiérrez-TobalVerónica Barroso-GarcíaAndrea CrespoFélix del CampoDavid GozalRoberto HorneroPublished in: EMBC (2018)
Keyphrases
- multi class
- apnea hypopnea
- sleep stage
- sleep apnea
- obstructive sleep apnea
- object detection
- multiclass classification
- multi class classification
- pairwise
- support vector machine
- cost sensitive
- multiclass problems
- boosting algorithms
- multiple classes
- feature selection
- machine learning
- linear classifiers
- physiological parameters
- binary classification problems
- binary classification
- base classifiers
- binary classifiers
- multi class classifier
- multi class svm
- support vector
- multi class boosting
- error correcting output codes
- multi class problems
- computer vision
- binary and multi class
- data sets