Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling
Summary
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling is a scholarly article[1].
Key Facts
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling. Retrieved May 24, 2026, from https://4ort.xyz/entity/augmenting-the-diversity-of-imbalanced-datasets-via-multi-vector-stochastic-exploration-oversampling
MLA“Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/augmenting-the-diversity-of-imbalanced-datasets-via-multi-vector-stochastic-exploration-oversampling.
BibTeX@misc{4ortxyz_augmenting-the-diversity-of-imbalanced-datasets-via-multi-vector-stochastic-exploration-oversampling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling}}, year = {2026}, url = {https://4ort.xyz/entity/augmenting-the-diversity-of-imbalanced-datasets-via-multi-vector-stochastic-exploration-oversampling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling — https://4ort.xyz/entity/augmenting-the-diversity-of-imbalanced-datasets-via-multi-vector-stochastic-exploration-oversampling (retrieved 2026-05-24)
