Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm.
Ireneusz CzarnowskiPublished in: ICCCI (2021)
Keyphrases
- firefly algorithm
- learning from imbalanced data
- imbalanced data
- imbalanced datasets
- sampling methods
- convergence speed
- random forest
- filter design
- linear regression
- random sampling
- sampling algorithm
- ensemble methods
- decision trees
- class imbalance
- class noise
- class distribution
- learning algorithm
- benchmark datasets
- prediction accuracy
- least squares
- support vector machine
- feature selection