Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification.
Zilu LiangMario Alberto Chapa MartellPublished in: DASC/PiCom/DataCom/CyberSciTech (2019)
Keyphrases
- class imbalanced
- decision trees
- feature vectors
- classification accuracy
- pattern classification
- feature selection
- instance selection
- support vector machine
- class imbalance
- text classification
- benchmark datasets
- svm classifier
- supervised learning
- training set
- preprocessing
- feature extraction
- decision rules
- data distribution
- machine learning methods
- training samples
- cost sensitive
- nearest neighbour