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A Coverage-Based Utility Model for Identifying Unknown Unknowns

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2018) · cited 36× · AI/ML
CreativeWork academia

Facts

5 properties
Instance of
scholarly article[2]
Publication date
April 25, 2018as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Published in
Proceedings of the AAAI Conference on Artificial Intelligenceas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
Title
A Coverage-Based Utility Model for Identifying Unknown Unknownsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2788428929as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
DOI
10.1609/AAAI.V32I1.11493as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 2
Daniel S. Weld, Gagan Bansal
← Author of 2
Daniel S. Weld, Gagan Bansal
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Summary

A Coverage-Based Utility Model for Identifying Unknown Unknowns is a scholarly article[1].

Related Entities

Daniel S. Weld

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A Coverage-Based Utility Model for Identifying Unknown Unknowns. Retrieved October 18, 2026, from https://4ort.xyz/entity/a-coverage-based-utility-model-for-identifying-unknown-unknowns
MLA “A Coverage-Based Utility Model for Identifying Unknown Unknowns.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/a-coverage-based-utility-model-for-identifying-unknown-unknowns.
BibTeX @misc{4ortxyz_a-coverage-based-utility-model-for-identifying-unknown-unknowns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Coverage-Based Utility Model for Identifying Unknown Unknowns}}, year = {2026}, url = {https://4ort.xyz/entity/a-coverage-based-utility-model-for-identifying-unknown-unknowns}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Coverage-Based Utility Model for Identifying Unknown Unknowns — https://4ort.xyz/entity/a-coverage-based-utility-model-for-identifying-unknown-unknowns (retrieved 2026-10-18)

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