Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification.
Kitsuchart PasupaSupawit VatathanavaroSuchat TungjitnobPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- class imbalance
- cost sensitive learning
- cost sensitive
- active learning
- class distribution
- blood cells
- high dimensionality
- convolutional neural networks
- imbalanced datasets
- feature selection
- imbalanced data sets
- majority class
- imbalanced data
- minority class
- concept drift
- pattern recognition
- pattern classification
- training data
- sampling methods
- training set
- support vector
- data sets
- imbalanced class distribution
- image processing
- decision trees
- classification models
- test set
- text classification
- text mining
- nearest neighbor
- support vector machine
- data streams
- feature vectors