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DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks.

, and . ICSME, page 454-458. IEEE, (2019)

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The Scent of Deep Learning Code: An Empirical Study., , , and . MSR, page 420-430. ACM, (2020)Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems., , , and . CoRR, (2024)Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation., , and . CoRR, (2022)Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases., , , , and . CoRR, (2021)Automatic Fault Detection for Deep Learning Programs Using Graph Transformations., , , and . CoRR, (2021)DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment., , , , and . CoRR, (2022)Robustness assessment of hyperspectral image CNNs using metamorphic testing., , , , and . Inf. Softw. Technol., (2023)SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design., , , , and . ASE, page 94:1-94:13. ACM, (2022)DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks., and . ICSME, page 454-458. IEEE, (2019)TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs., and . QRS, page 426-433. IEEE, (2019)