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Found 2 papers, 2 papers with code
Boosting Data Analytics With Synthetic Volume Expansion
This article explores the effectiveness of statistical methods on synthetic data and the privacy risks of synthetic data.
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
The framework focuses on uncertainty quantification in complex data scenarios, particularly involving unstructured data while utilizing deep learning models.
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