Graph Node Based Interpretability Guided Sample Selection for Active Learning.
Dwarikanath MahapatraAlexander PoellingerMauricio ReyesPublished in: IEEE Trans. Medical Imaging (2023)
Keyphrases
- sample selection
- active learning
- graph structure
- directed graph
- training data
- learning algorithm
- selection strategy
- nodes of a graph
- edge weights
- random walk
- undirected graph
- training set
- machine learning
- training examples
- support vector machine
- betweenness centrality
- learning process
- tree structure
- unlabeled data
- supervised learning
- classification accuracy
- shortest path
- weighted graph
- class imbalance
- multi class
- feature space
- pattern recognition
- similarity measure
- genetic algorithm