Class-Imbalance Adversarial Transfer Learning Network for Cross-Domain Fault Diagnosis With Imbalanced Data.
Jiachen KuangGuanghua XuTangfei TaoQingqiang WuPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- transfer learning
- cross domain
- fault diagnosis
- imbalanced data
- class imbalance
- active learning
- class distribution
- minority class
- knowledge transfer
- labeled data
- learning tasks
- sampling methods
- cost sensitive
- machine learning
- neural network
- feature selection
- target domain
- unlabeled data
- fuzzy logic
- text classification
- text categorization
- semi supervised learning
- decision trees
- reinforcement learning
- concept drift
- semi supervised
- multi task
- decision boundary
- training examples
- learning algorithm
- ensemble methods
- information extraction
- support vector machine
- collaborative filtering
- text mining
- machine learning algorithms
- nearest neighbour
- misclassification costs
- training samples