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A Novel Hybrid Sampling Method ESMOTE+SSLM for Handling the Problem of Class Imbalance with Overlap in Financial Distress Detection.
Xiaomin Wang
Rui Zhang
Zuoquan Zhang
Published in:
Neural Process. Lett. (2023)
Keyphrases
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class imbalance
class distribution
active learning
cost sensitive
cost sensitive learning
imbalanced datasets
high dimensionality
sampling methods
minority class
concept drift
financial distress
early warning
neural network
feature selection
high dimensional
small number