Affect detection from non-stationary physiological data using ensemble classifiers.
Omar AlZoubiDavide FossatiSidney K. D'MelloRafael A. CalvoPublished in: Evol. Syst. (2015)
Keyphrases
- non stationary
- physiological data
- affect detection
- concept drift
- physiological signals
- multivariate time series
- intensive care
- patient data
- autoregressive
- base classifiers
- ensemble methods
- temporal patterns
- open ended
- mental states
- intraoperative
- random forest
- classification models
- daily life
- dimension reduction
- health care
- decision trees