AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs
Background: Multimodal fracture classifiers may benefit from patient and anatomical metadata, but they can also become brittle when contextual information is missing or mismatched. Methods: We studied 1493 radiographs from the Bangladeshi OrthoFrac-XR dataset using leakage-safe age, sex, bone type, and laterality. A Co...
Token-Region Guided Cross-Attention Fusion for Multimodal Affect Interpretation
Experimental evaluation on the PoliMemeDecode1 dataset shows that the attention-based fusion significantly outperforms unimodal baselines and standard concatenation methods, achieving a state-of-the-art Macro-F1 of approximately 0.94.