AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning.
Aboozar TaherkhaniGeorgina CosmaT. M. McGinnityPublished in: Neurocomputing (2020)
Keyphrases
- multi class
- boosting algorithms
- multi class classification
- learning algorithm
- transfer learning
- cost sensitive
- imbalanced datasets
- machine learning
- binary classification
- multi task
- support vector machine
- similarity measure
- learning tasks
- ensemble methods
- feature selection
- labeled data
- text categorization
- machine learning algorithms
- dimensionality reduction
- active learning
- reinforcement learning
- decision trees