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aimhi black-box black-box parallelization causal discovery causality co-training complexity dataset deep learning explainability explainable FedDC federated federated causal discovery federated learning fine-tuning GNN graph neural networks interpretability interpretable intervention layer-wise linear mode connectivity machine learning medicine nephrology rule ensemble rule mining theory of deep learning XAI

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2025

Moon Kim Frederic Jonske, Enrico Nasca

Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries (Journal Article)

In: Computer Methods and Programs in Biomedicine, 2025.

(Links | BibTeX | Tags: deep learning, fine-tuning, foundation models, Medical AI)