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CNN‐ and GAN‐based classification of malicious code families: A code visualization approach

Research article (International Journal of Intelligent Systems, 2022) · cited 29× · AI/ML
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CNN‐ and GAN‐based classification of malicious code families: A code visualization approach

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CNN‐ and GAN‐based classification of malicious code families: A code visualization approach is a scholarly article[1].

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  • CNN‐ and GAN‐based classification of malicious code families: A code visualization approach's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). CNN‐ and GAN‐based classification of malicious code families: A code visualization approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-and-ganbased-classification-of-malicious-code-families-a-code-visualization-approach
MLA “CNN‐ and GAN‐based classification of malicious code families: A code visualization approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-and-ganbased-classification-of-malicious-code-families-a-code-visualization-approach.
BibTeX @misc{4ortxyz_cnn-and-ganbased-classification-of-malicious-code-families-a-code-visualization-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN‐ and GAN‐based classification of malicious code families: A code visualization approach}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-and-ganbased-classification-of-malicious-code-families-a-code-visualization-approach}, note = {Accessed: 2026-05-24}}
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