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Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules

Research article (27th International Conference on Intelligent User Interfaces, 2022) · cited 42× · AI/ML
academia openalex:W4220893555
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Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules

Summary

Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules is a scholarly article[1].

Key Facts

  • Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules. Retrieved May 24, 2026, from https://4ort.xyz/entity/building-trust-in-interactive-machine-learning-via-user-contributed-interpretable-rules
MLA “Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/building-trust-in-interactive-machine-learning-via-user-contributed-interpretable-rules.
BibTeX @misc{4ortxyz_building-trust-in-interactive-machine-learning-via-user-contributed-interpretable-rules_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules}}, year = {2026}, url = {https://4ort.xyz/entity/building-trust-in-interactive-machine-learning-via-user-contributed-interpretable-rules}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules — https://4ort.xyz/entity/building-trust-in-interactive-machine-learning-via-user-contributed-interpretable-rules (retrieved 2026-05-24)

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