Articles with "test auc" as a keyword



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Deploying deep learning models on unseen medical imaging using adversarial domain adaptation

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Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0273262

Abstract: The fundamental challenge in machine learning is ensuring that trained models generalize well to unseen data. We developed a general technique for ameliorating the effect of dataset shift using generative adversarial networks (GANs) on a… read more here.

Keywords: domain adaptation; adaptation; auc; test auc ... See more keywords