On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection.
Biraja GhoshalAllan TuckerPublished in: CBMS (2021)
Keyphrases
- cost sensitive
- deep learning
- cost sensitive classification
- cost sensitive learning
- misclassification costs
- multi class
- class distribution
- unsupervised learning
- active learning
- object detection
- machine learning
- naive bayes
- weakly supervised
- support vector machine
- image segmentation
- natural language processing
- learning strategies
- knowledge discovery
- pairwise
- decision trees