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DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network

Canan Batur Sahin. DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network. In International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021, Kocaeli, Turkey, August 25-27, 2021. pages 1-8, IEEE, 2021. [doi]

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