Augmenting real data with synthetic data: Revision history

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28 August 2025

  • curprev 18:4318:43, 28 August 2025‎ Lorikrammer talk contribs‎ m 3,742 bytes +64‎ No edit summary Tag: Visual edit
  • curprev 18:2318:23, 28 August 2025‎ Lorikrammer talk contribs‎ 3,678 bytes +3,678‎ Created page with "In biomedical research, small sample sizes often pose challenges for developing robust machine learning models and evaluating computational scalability. To overcome this limitation, we have designed an algorithm that utilizes conditional Generative Adversarial Networks (cGANs) to generate synthetic data, effectively expanding available datasets. While synthetic data may not always improve model accuracy, it provides researchers with the ability to assess computational ef..." Tag: Visual edit
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