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Graph Node Based Interpretability Guided Sample Selection for Active Learning.
Dwarikanath Mahapatra
Alexander Poellinger
Mauricio Reyes
Published in:
IEEE Trans. Medical Imaging (2023)
Keyphrases
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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