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  • International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
    Andreas Holzinger; Randy Goebel; Ruth Fong; Taesup Moon; Klaus-Robert Müller; Wojciech Samek
    978-3-031-04083-2
    2022
    Edition 1
    • This book is open access, which means that you have free and unlimited access
    • Explainable AI (xAI) aims to create tools and models that are predictive, interpretable, understandable for humans
    • Topic receiving huge interest in the machine learning and AI research communities
    • Contributions in this volume are from leading researchers in the field, drawn from both academia and industry

    Open Access

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