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Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.
Chunyu Zhao
Yanzhou Mu
Xiang Chen
Jingke Zhao
Xiaolin Ju
Gan Wang
Published in:
Inf. Softw. Technol. (2022)
Keyphrases
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empirical studies
neural network
experimental design
real world data sets
statistical significance
preprocessing
benchmark datasets
real world
statistical tests
machine learning
artificial neural networks
input data
theoretical analysis
fault diagnosis
cross validation