Titlebook: Explainable AI: Foundations, Methodologies and Applications; Mayuri Mehta,Vasile Palade ,Indranath Chatterjee Book 2023 The Editor(s) (if

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Efrat Tiram,Zilla Sinuany-Sterno multiple small options for the IDS area. This chapter aims to implement the arrangement of issues labeled in the various black box methods. This survey helps the researcher to understand the classification of various black box models.

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Interdiction Models and Applications,s in the construction of XAI concepts, we show that neural networks are no less explanatory AI than linear models and decision trees. Moreover, we will show what the neural network approach can do so that the explanation will not need to be exchanged for the quality of AI algorithms, and that they c

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Pando G. Georgiev,Fabian J. Theis is a safety critical one and thus requires a qualitative assessment of the reasons for the predictions of the WhONet model at any point of use. There is therefore the need to provide explanations for the WhONet’s predictions to justify its reliability and thus provide a higher level of transparency

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Gabrio Caimi,Frank Fischer,Thomas Schlechtele in healthcare systems. The proposed system is implemented completely on Raspberry Pi allowing a complete embedded application. The application is developed using Python and HTML. PyCharm/Visual Studio Code with the help of an open-source library is used for training, defining, etc. Machine learni

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