APA (7th ed.) Citation

Sahin, C. B. (2021, August 25). DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network. 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 1-8. https://doi.org/10.1109/INISTA52262.2021.9548609

Chicago Style (17th ed.) Citation

Sahin, Canan Batur. "DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network." 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) 25 Aug. 2021: 1-8. https://doi.org/10.1109/INISTA52262.2021.9548609.

MLA (9th ed.) Citation

Sahin, Canan Batur. "DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network." 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 25 Aug. 2021, pp. 1-8, https://doi.org/10.1109/INISTA52262.2021.9548609.