Abstract: Graph Convolutional Networks (GCNs) have shown promising results in semi-supervised learning tasks, yet their effectiveness is highly dependent on the quality of the input graph. In image ...
Abstract: Few-shot hyperspectral image classification (FHSIC) is crucial for precise land cover identification when labeled samples are scarce, mitigating the prohibitive annotation costs associated ...
Feature importance was assessed using SHAP values, and associations between key digital features and clinical scales were analysed. Results: Integration of active and passive data outperformed ...
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