Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models

Research article (2023 IEEE International Conference on Data Mining (ICDM), 2023) · cited 12× · AI/ML
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Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models

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Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-to-explain-a-model-agnostic-framework-for-explaining-black-box-models
MLA “Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-to-explain-a-model-agnostic-framework-for-explaining-black-box-models.
BibTeX @misc{4ortxyz_learning-to-explain-a-model-agnostic-framework-for-explaining-black-box-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models}}, year = {2026}, url = {https://4ort.xyz/entity/learning-to-explain-a-model-agnostic-framework-for-explaining-black-box-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models — https://4ort.xyz/entity/learning-to-explain-a-model-agnostic-framework-for-explaining-black-box-models (retrieved 2026-05-24)

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