arxiv
PublishedSeptember 29, 2026 at 4:00 AM
Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis
Publisher summary· verbatim
arXiv:2605.13312v2 Announce Type: replace Abstract: Multimodal brain network analysis faces a persistent trade-off between predictive accuracy and interpretability. Deep neural networks achieve high accuracy but behave as black boxes that reveal little about the brain modules driving their decisions
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Originally published on arxiv ↗