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: CoRR (2020)
Keyphrases
- class imbalance
- convolutional neural networks
- active learning
- class distribution
- cost sensitive
- blood cells
- imbalanced datasets
- cost sensitive learning
- majority class
- high dimensionality
- minority class
- imbalanced data
- imbalanced data sets
- concept drift
- feature selection
- pattern recognition
- classification accuracy
- early stage
- image processing
- training set
- decision trees
- sampling methods
- classification models
- image classification
- image registration
- pairwise