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Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data.
Jie Chen
ZhongCheng Wu
Jun Zhang
Published in:
IEEE Trans. Intell. Transp. Syst. (2019)
Keyphrases
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cost sensitive
data sets
training data
class imbalance
data analysis
class distribution
neural network
active learning
image processing
data points
training examples
prediction accuracy
data distribution