Imbalanced data classification: Using transfer learning and active sampling.
Yang LiuGuoping YangShaojie QiaoMeiqi LiuLulu QuNan HanTao WuGuan YuanTao WuYuzhong PengPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- transfer learning
- active sampling
- imbalanced data classification
- active learning
- feature selection
- labeled data
- learning tasks
- text classification
- learning algorithm
- unlabeled data
- cross domain
- random sampling
- multi task
- text categorization
- semi supervised
- supervised learning
- training set
- machine learning
- labeled examples
- class imbalance
- training examples
- semi supervised learning
- learning to rank
- learning process
- support vector machine
- training data
- information retrieval
- collaborative filtering
- cost sensitive
- unsupervised learning
- text mining
- target domain