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Generalized Model Interpretability
Generalized Model Interpretability
Explanation algorithm that is universally applicable across model architectures by transferring activation information from the original to the clone model and leveraging activation differences between them.Â
Face Synthesis via Generative Models
Face Synthesis via Generative Models
Guided Appearance Aging applies counterfactual explanations to enable the adjustment of individual facial features and to reflect personalized aging patterns, thereby overcoming the limitations of existing models.
Enhancing Interpretability in Medical Image
Enhancing Interpretability in Medical Image
Validating the applicability of deep learning across various medical imaging modalities and diseases while improving the interpretability of medical image analysis through XAI
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