An approach to class imbalance problem based on stacking and inverse random under sampling methods

Research article (2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), 2018) · cited 17× · AI/ML
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An approach to class imbalance problem based on stacking and inverse random under sampling methods

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An approach to class imbalance problem based on stacking and inverse random under sampling methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An approach to class imbalance problem based on stacking and inverse random under sampling methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-approach-to-class-imbalance-problem-based-on-stacking-and-inverse-random-under-sampling-methods
MLA “An approach to class imbalance problem based on stacking and inverse random under sampling methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-approach-to-class-imbalance-problem-based-on-stacking-and-inverse-random-under-sampling-methods.
BibTeX @misc{4ortxyz_an-approach-to-class-imbalance-problem-based-on-stacking-and-inverse-random-under-sampling-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An approach to class imbalance problem based on stacking and inverse random under sampling methods}}, year = {2026}, url = {https://4ort.xyz/entity/an-approach-to-class-imbalance-problem-based-on-stacking-and-inverse-random-under-sampling-methods}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An approach to class imbalance problem based on stacking and inverse random under sampling methods — https://4ort.xyz/entity/an-approach-to-class-imbalance-problem-based-on-stacking-and-inverse-random-under-sampling-methods (retrieved 2026-05-24)

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