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LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models

Research article (2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019) · cited 23× · AI/ML
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LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models

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LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models is a scholarly article[1].

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  • LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models'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). LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models. Retrieved May 24, 2026, from https://4ort.xyz/entity/leafage-example-based-and-feature-importance-based-explanations-for-black-box-ml-models
MLA “LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leafage-example-based-and-feature-importance-based-explanations-for-black-box-ml-models.
BibTeX @misc{4ortxyz_leafage-example-based-and-feature-importance-based-explanations-for-black-box-ml-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models}}, year = {2026}, url = {https://4ort.xyz/entity/leafage-example-based-and-feature-importance-based-explanations-for-black-box-ml-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models — https://4ort.xyz/entity/leafage-example-based-and-feature-importance-based-explanations-for-black-box-ml-models (retrieved 2026-05-24)

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