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Titlebook: Interpretable Artificial Intelligence: A Perspective of Granular Computing; Witold Pedrycz,Shyi-Ming Chen Book 2021 The Editor(s) (if appl

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發(fā)表于 2025-3-21 18:04:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Interpretable Artificial Intelligence: A Perspective of Granular Computing
編輯Witold Pedrycz,Shyi-Ming Chen
視頻videohttp://file.papertrans.cn/473/472704/472704.mp4
概述Highlights recent research on interpretable Artificial Intelligence.Focuses on a perspective of Granular Computing.Written by experts in the field
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Interpretable Artificial Intelligence: A Perspective of Granular Computing; Witold Pedrycz,Shyi-Ming Chen Book 2021 The Editor(s) (if appl
描述This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.
出版日期Book 2021
關(guān)鍵詞Computational Intelligence; Artificial Intelligence; AI; Granular Computing; Interpretable Artificial In
版次1
doihttps://doi.org/10.1007/978-3-030-64949-4
isbn_softcover978-3-030-64951-7
isbn_ebook978-3-030-64949-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:57:45 | 只看該作者
Book 2021g the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapt
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發(fā)表于 2025-3-22 02:45:11 | 只看該作者
Book 2021 knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.
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MiBeX: Malware-Inserted Benign Datasets for Explainable Machine Learning, as Image?classifier achieves a training accuracy of 98.94% and a validation accuracy of 93.83%, showing that the method can produce valid datasets for use with machine learning. Gradient-based saliency mapping is then applied to the trained classifier to generate heat-map explanations of the network output.
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1860-949X ytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.978-3-030-64951-7978-3-030-64949-4Series ISSN 1860-949X Series E-ISSN 1860-9503
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Interpretable Artificial Intelligence: A Perspective of Granular Computing
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