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Explainable Ai Within the Transformation and Cyber Physical Systems : Xai Me...

Description: Explainable Ai Within the Transformation and Cyber Physical Systems : Xai Methods and Applications, Hardcover by Sayed-mouchaweh, Moamar (EDT), ISBN 3030764087, ISBN-13 9783030764081, Brand New, Free P&P in the UK This book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results. The authors discuss the challenges involved in making machine learning-based AI explainable. Firstly, that the explanations must be adapted to different stakeholders (end-users, policy makers, industries, utilities etc.) with different levels of technical knowledge (managers, engineers, technicians, etc.) in different application domains. Secondly, that it is important to develop an evaluation framework and standards in order to measure the effectiveness of the provided explanations at the human and the technical levels. This book gathers research contributions aiming at the development and/or the use of XAI techniques in order to address the aforementioned challenges in different applications such as healthcare, finance, cybersecurity, and document summarization. It allows highlighting the benefits and requirements of using explainable models in different application domains in order to provide guidance to readers to select the most adapted models to their specified problem and conditions.

Price: 251.99 GBP

Location: Castle Donington

End Time: 2024-11-30T22:51:55.000Z

Shipping Cost: 20.78 GBP

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Explainable Ai Within the  Transformation and Cyber Physical Systems : Xai Me...

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Book Title: Explainable Ai Within the Digital Transformation and Cyber Physic

Item Height: 235 mm

Item Width: 155 mm

Author: Moamar Sayed-Mouchaweh

Publication Name: Explainable AI Within the Digital Transformation and Cyber Physical Systems: XAI Methods and Applications

Format: Hardcover

Language: English

Publisher: Springer Nature Switzerland A&G

Subject: Engineering & Technology, Computer Science, Mathematics

Publication Year: 2021

Type: Textbook

Number of Pages: 198 Pages

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