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MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance

Research article (2020 IEEE International Conference on Data Mining (ICDM), 2020) · cited 12× · AI/ML
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MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance

Summary

MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance is a scholarly article[1].

Key Facts

  • MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance's instance of is recorded as scholarly article[2].

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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). MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. Retrieved May 24, 2026, from https://4ort.xyz/entity/mixboost-synthetic-oversampling-using-boosted-mixup-for-handling-extreme-imbalance
MLA “MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mixboost-synthetic-oversampling-using-boosted-mixup-for-handling-extreme-imbalance.
BibTeX @misc{4ortxyz_mixboost-synthetic-oversampling-using-boosted-mixup-for-handling-extreme-imbalance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance}}, year = {2026}, url = {https://4ort.xyz/entity/mixboost-synthetic-oversampling-using-boosted-mixup-for-handling-extreme-imbalance}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance — https://4ort.xyz/entity/mixboost-synthetic-oversampling-using-boosted-mixup-for-handling-extreme-imbalance (retrieved 2026-05-24)

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