Feature selection for imbalanced data with deep sparse autoencoders ensemble.
Michela Carlotta MassiFrancesca GasperoniFrancesca IevaAnna Maria PaganoniPublished in: Stat. Anal. Data Min. (2022)
Keyphrases
- imbalanced data
- feature selection
- ensemble methods
- classification models
- support vector machine
- ensemble classifier
- denoising
- text classification
- class distribution
- ensemble learning
- linear regression
- high dimensionality
- random forest
- classification accuracy
- text categorization
- machine learning
- class imbalance
- feature selection algorithms
- feature set
- feature space
- unsupervised learning
- support vector
- neural network
- dimensionality reduction
- decision trees
- multi class
- active learning
- minority class
- random forests
- preprocessing step
- multi task
- feature vectors
- knn
- least squares
- svm classifier
- prediction accuracy
- high dimensional data
- supervised learning
- image classification