Improving understandability of feature contributions in model-agnostic explainable AI tools

Research article (CHI Conference on Human Factors in Computing Systems, 2022) · cited 32× · AI/ML
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Improving understandability of feature contributions in model-agnostic explainable AI tools

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Improving understandability of feature contributions in model-agnostic explainable AI tools is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving understandability of feature contributions in model-agnostic explainable AI tools. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-understandability-of-feature-contributions-in-model-agnostic-explainable-ai-tools
MLA “Improving understandability of feature contributions in model-agnostic explainable AI tools.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-understandability-of-feature-contributions-in-model-agnostic-explainable-ai-tools.
BibTeX @misc{4ortxyz_improving-understandability-of-feature-contributions-in-model-agnostic-explainable-ai-tools_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving understandability of feature contributions in model-agnostic explainable AI tools}}, year = {2026}, url = {https://4ort.xyz/entity/improving-understandability-of-feature-contributions-in-model-agnostic-explainable-ai-tools}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving understandability of feature contributions in model-agnostic explainable AI tools — https://4ort.xyz/entity/improving-understandability-of-feature-contributions-in-model-agnostic-explainable-ai-tools (retrieved 2026-05-24)

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