Work

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

Year: 2021

Type: conference-paper

Source: International Conference on Innovations in Intelligent Systems and Applications (INISTA)

DOI: 10.1109/inista52262.2021.9548609

Author: Canan Batur Sahin

Institutions: Malatya Turgut Özal Üniversitesi, Turgut Özal University

Language: English

Topic: Artificial Immune Systems Applications

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3202015664

FWCI: 2.841

Cites: 15

Cited by: 7

Related to: 10