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Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

Research article (Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021) · cited 39× · AI/ML
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Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

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Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information is a scholarly article[1].

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  • Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information's instance of is recorded as scholarly article[2].

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Jamie Morgenstern

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information
MLA “Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information.
BibTeX @misc{4ortxyz_evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information — https://4ort.xyz/entity/evaluating-fairness-of-machine-learning-models-under-uncertain-and-incomplete-information (retrieved 2026-05-24)

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