Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder

Research article (2022 14th International Conference on Knowledge and Smart Technology (KST), 2022) · cited 16× · AI/ML
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Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder

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Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-analysis-of-data-augmentation-using-bootstrap-gans-and-autoencoder
MLA “Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-analysis-of-data-augmentation-using-bootstrap-gans-and-autoencoder.
BibTeX @misc{4ortxyz_comparison-analysis-of-data-augmentation-using-bootstrap-gans-and-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-analysis-of-data-augmentation-using-bootstrap-gans-and-autoencoder}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder — https://4ort.xyz/entity/comparison-analysis-of-data-augmentation-using-bootstrap-gans-and-autoencoder (retrieved 2026-05-24)

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