Quality Data Extractor (QDE): Elevating Synthetic Data Augmentation Through Post-Generation Filtration
Synthetic data plays a crucial role in augmenting datasets for machine learning, particularly when real data is limited or sensitive. However, not all synthetic samples contribute positively to model performance; low-quality instances can degrade both predictive accuracy and data fidelity. To addres...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11142788/ |
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