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Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data.
Chengbao Liu
Jie Tan
Heyuan Shi
Xuelei Wang
Published in:
IEEE Access (2018)
Keyphrases
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imbalanced data
convolutional neural networks
class distribution
linear regression
ensemble methods
class imbalance
support vector machine
preprocessing step
feature selection
sampling methods
learning from imbalanced data
decision trees
classification models
training set
multi class
decision boundary