A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification.
Xiaocai ZhangHui PengJianjia ZhangYang WangPublished in: Expert Syst. Appl. (2023)
Keyphrases
- differential evolution
- cost sensitive
- class imbalance
- class distribution
- evolutionary algorithm
- multi class
- misclassification costs
- cost sensitive learning
- optimization algorithm
- particle swarm optimization
- sampling methods
- differential evolution algorithm
- mutation operator
- cost sensitive classification
- binary classification
- genetic algorithm
- active learning
- naive bayes
- numerical optimization problems
- crossover operator
- global optimization problems
- multi objective
- solving global optimization problems
- parameter optimization
- support vector machine
- boosting algorithms
- text classification