Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection

Research article (Information Sciences, 2022) · cited 27× · AI/ML
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Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection

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Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/auto-cash-a-meta-learning-embedding-approach-for-autonomous-classification-algorithm-selection
MLA “Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/auto-cash-a-meta-learning-embedding-approach-for-autonomous-classification-algorithm-selection.
BibTeX @misc{4ortxyz_auto-cash-a-meta-learning-embedding-approach-for-autonomous-classification-algorithm-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection}}, year = {2026}, url = {https://4ort.xyz/entity/auto-cash-a-meta-learning-embedding-approach-for-autonomous-classification-algorithm-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection — https://4ort.xyz/entity/auto-cash-a-meta-learning-embedding-approach-for-autonomous-classification-algorithm-selection (retrieved 2026-05-24)

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