Titlebook: Explainable AI Within the Digital Transformation and Cyber Physical Systems; XAI Methods and Appl Moamar Sayed-Mouchaweh Book 2021 The Edit

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Prologue: Introduction to Explainable Artificial Intelligence,d explanations. It summarizes the gathered 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.

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Mitigating the Class Overlap Problem in Discriminative Localization: COVID-19 and Pneumonia Case Stfference in scaled activations of the features in the last convolutional layer of the CNN for both classes. In doing so, we exploit the feature similarity between the two diseases for training purposes, thereby mitigating issues arising due to the scarcity of COVID-19 data. In models with overlappin

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Moamar Sayed-MouchawehIncludes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems.Provides a textual scientific d

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https://doi.org/10.1007/978-3-030-76409-8Explainable Artificial Intelligence (XAI); Digital Transformation and Cyber Physical Systems; XAI appl

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Adolescent Sex Offender Programs,edictive maintenance, bioinformatics, e-commerce, healthcare, etc.), and challenges (accuracy/transparency trade-off, adapted to different levels of users, generalized to different application domains, etc.) of Explainable Artificial Intelligence (XAI) within the context of Digital Transformation an

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