Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification.
Ashfiqun MustariRushmia AhmedAfsara TasnimJakia Sultana JuthiG. M. ShahariarPublished in: CoRR (2024)
Keyphrases
- cost sensitive learning
- cancer classification
- gene selection
- random forest
- cost sensitive
- microarray
- gene expression data
- microarray data
- gene expression profiles
- feature selection
- missing values
- decision trees
- probability estimation
- class imbalance
- misclassification costs
- active learning
- class distribution
- gene expression
- rule extraction
- model selection
- neural network
- similarity measure
- feature extraction
- image segmentation