GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data
Summary
GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data is a scholarly article[1].
Key Facts
GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data. Retrieved May 24, 2026, from https://4ort.xyz/entity/gmmsampling-a-new-model-based-data-difficulty-driven-resampling-method-for-multi-class-imbalanced-data
MLA“GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gmmsampling-a-new-model-based-data-difficulty-driven-resampling-method-for-multi-class-imbalanced-data.
BibTeX@misc{4ortxyz_gmmsampling-a-new-model-based-data-difficulty-driven-resampling-method-for-multi-class-imbalanced-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data}}, year = {2026}, url = {https://4ort.xyz/entity/gmmsampling-a-new-model-based-data-difficulty-driven-resampling-method-for-multi-class-imbalanced-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data — https://4ort.xyz/entity/gmmsampling-a-new-model-based-data-difficulty-driven-resampling-method-for-multi-class-imbalanced-data (retrieved 2026-05-24)
