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Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications

Research article (Neurocomputing, 2023) · cited 14× · AI/ML
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Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications

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Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications is a scholarly article[1].

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  • Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications'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). Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretability-for-reliable-efficient-and-self-cognitive-dnns-from-theories-to-applications
MLA “Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretability-for-reliable-efficient-and-self-cognitive-dnns-from-theories-to-applications.
BibTeX @misc{4ortxyz_interpretability-for-reliable-efficient-and-self-cognitive-dnns-from-theories-to-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications}}, year = {2026}, url = {https://4ort.xyz/entity/interpretability-for-reliable-efficient-and-self-cognitive-dnns-from-theories-to-applications}, note = {Accessed: 2026-05-24}}
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