Isometric Stratified Ensembles: A Partial and Incremental Adaptive Applicability Domain and Consensus-Based Classification Strategy for Highly Imbalanced Data Sets with Application to Colloidal Aggregation.
Christophe MolinaLilia Ait-OuarabHervé MinouxPublished in: J. Chem. Inf. Model. (2022)
Keyphrases
- highly imbalanced
- data sets
- class distribution
- imbalanced data
- decision trees
- training set
- text classification
- class imbalance
- pattern classification
- classification algorithm
- feature selection
- database
- cost sensitive
- machine learning algorithms
- support vector machine svm
- image classification
- feature extraction
- machine learning
- unsupervised learning
- benchmark datasets
- original data
- multi class
- support vector machine
- active learning
- support vector