Addressing the challenges of sleep/wake class imbalance in bed based non-contact actigraphic recordings of sleep.
Andrew P. McDowellMark P. DonnellyChris D. NugentLeo GalwayMichael J. McGrathPublished in: EMBC (2013)
Keyphrases
- class imbalance
- active learning
- class distribution
- cost sensitive learning
- sleep stage
- cost sensitive
- random subspaces
- sleep apnea
- high dimensionality
- sampling methods
- minority class
- concept drift
- imbalanced data
- majority class
- software defect prediction
- data mining
- imbalanced datasets
- training data
- feature extraction
- feature selection