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To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques

Research article (IEEE Transactions on Knowledge and Data Engineering, 2015) · cited 398× · AI/ML
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To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques

Summary

To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques is a scholarly article[1].

Key Facts

  • To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques's instance of is recorded as scholarly article[2].

Related Entities

Sattar Hashemi

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). To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/to-combat-multi-class-imbalanced-problems-by-means-of-over-sampling-techniques
MLA “To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/to-combat-multi-class-imbalanced-problems-by-means-of-over-sampling-techniques.
BibTeX @misc{4ortxyz_to-combat-multi-class-imbalanced-problems-by-means-of-over-sampling-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/to-combat-multi-class-imbalanced-problems-by-means-of-over-sampling-techniques}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques — https://4ort.xyz/entity/to-combat-multi-class-imbalanced-problems-by-means-of-over-sampling-techniques (retrieved 2026-05-24)

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