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Found 2 papers, 1 papers with code
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification
Due to this reason, one-shot learning still remains one of the most challenging and trending concepts of deep learning as it proposes to simulate the human-like learning approach in classification problems.
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets
To the best of our knowledge, this presents the first work investigating the reproducibility of federated GNN models with application to classifying medical imaging and brain connectivity datasets.
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