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Thomas Wiegand

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. From attribution maps to human-understandable explanations through Concept Relevance Propagation

    2023 · Nature Machine Intelligence

    Abstract The field of explainable artificial intelligence (XAI) aims to bring transparency to today’s powerful but opaque deep learning models. While local XAI methods explain individual predictions in the form of attribution maps, thereby identifying …