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Mutual visual attention can be transformed into interpretable engagement metrics that empower non-technical users to grasp complex social dynamics.
Asymmetric modeling in deep learning can dramatically enhance the automated identification of chronic active lesions in Multiple Sclerosis, outperforming traditional methods.
