Home ›
Entities
› academia
› How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
Research article (2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022) · cited 21× · AI/ML
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
Summary
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks is a scholarly article[1].
Key Facts
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/how-good-is-your-explanation-algorithmic-stability-measures-to-assess-the-quality-of-explanations-for-deep-neural-networ
MLA“How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/how-good-is-your-explanation-algorithmic-stability-measures-to-assess-the-quality-of-explanations-for-deep-neural-networ.
BibTeX@misc{4ortxyz_how-good-is-your-explanation-algorithmic-stability-measures-to-assess-the-quality-of-explanations-for-deep-neural-networ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/how-good-is-your-explanation-algorithmic-stability-measures-to-assess-the-quality-of-explanations-for-deep-neural-networ}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks — https://4ort.xyz/entity/how-good-is-your-explanation-algorithmic-stability-measures-to-assess-the-quality-of-explanations-for-deep-neural-networ (retrieved 2026-05-24)
