Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...
Abstract: Medical image datasets often suffer from inadequate labeling, primarily due to ethical constraints, expertise challenges, and high annotation costs. In addition, domain shifts, resulting ...
Abstract: Deep neural networks (DNNs) have demonstrated remarkable potential in automatic target classification using synthetic aperture radar (SAR) imagery. However, their performance heavily relies ...
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