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Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM
Research article (PLoS ONE, 2025) · cited 17× · AI/ML
Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM
Summary
Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM is a scholarly article[1].
Key Facts
Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-malware-imagery-classification-with-explainable-deep-learning-a-state-of-the-art-approach-using-shap-lime-and-
MLA“Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-malware-imagery-classification-with-explainable-deep-learning-a-state-of-the-art-approach-using-shap-lime-and-.
BibTeX@misc{4ortxyz_advancing-malware-imagery-classification-with-explainable-deep-learning-a-state-of-the-art-approach-using-shap-lime-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-malware-imagery-classification-with-explainable-deep-learning-a-state-of-the-art-approach-using-shap-lime-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM — https://4ort.xyz/entity/advancing-malware-imagery-classification-with-explainable-deep-learning-a-state-of-the-art-approach-using-shap-lime-and- (retrieved 2026-05-24)