Improved noise-filtering algorithm for AdaBoost using the inter-and intra-class variability of imbalanced datasets.
Dohyun LeeKyoungok KimPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- filtering algorithm
- imbalanced datasets
- median filter
- ensemble methods
- decision trees
- noise reduction
- cost sensitive learning
- imbalanced data
- class distribution
- class imbalance
- noise level
- prediction accuracy
- image enhancement
- learning algorithm
- signal to noise ratio
- object detection
- base classifiers
- image processing
- training dataset
- gaussian noise
- feature selection
- minority class
- data sets
- training data
- benchmark datasets
- low dimensional
- multi class
- pattern recognition