Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods

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Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods

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Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-augmentation-with-automated-machine-learning-approaches-and-performance-comparison-with-classical-data-augmentation
MLA “Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-augmentation-with-automated-machine-learning-approaches-and-performance-comparison-with-classical-data-augmentation.
BibTeX @misc{4ortxyz_data-augmentation-with-automated-machine-learning-approaches-and-performance-comparison-with-classical-data-augmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-with-automated-machine-learning-approaches-and-performance-comparison-with-classical-data-augmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods — https://4ort.xyz/entity/data-augmentation-with-automated-machine-learning-approaches-and-performance-comparison-with-classical-data-augmentation (retrieved 2026-05-24)

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