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DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan
, Manel Abdellatif
, Mahboubeh Dadkhah
,
Lionel Briand
Department of Computer Science & Information Systems
Lero – the Research Ireland Centre for Software
University of Ottawa
École de technologie supérieure
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Earth and Planetary Sciences
Image Processing
100%
Retraining
100%
Fault detection
100%
Natural Language Processing
100%
Speech Recognition
100%
Computer Science
Deep Neural Network
100%
Multiobjective
100%
Neural Network Model
66%
Experimental Result
11%
Application Domain
11%
Speech Recognition
11%
Image Processing
11%
Natural Language Processing
11%
Fault detection
11%
Engineering
Black Box
100%
Deep Neural Network
100%
Network Model
66%
Application Domain
11%
Experimental Result
11%
Test Data
11%
Image Processing
11%
Natural Language Processing
11%
Biochemistry, Genetics and Molecular Biology
Speech Discrimination
100%
Natural Language Processing
100%
Neuroscience
Neural Network
100%
Image Processing
11%
Speech Recognition
11%
Natural Language Processing
11%