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Explainable AI: Foundations, Methodologies and Applications

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Cover of 'Explainable AI: Foundations, Methodologies and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Black Box Models for eXplainable Artificial Intelligence
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    Chapter 2 Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why?
  4. Altmetric Badge
    Chapter 3 An Overview of Explainable AI Methods, Forms and Frameworks
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    Chapter 4 Methods and Metrics for Explaining Artificial Intelligence Models: A Review
  6. Altmetric Badge
    Chapter 5 Evaluation Measures and Applications for Explainable AI
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    Chapter 6 Explainable AI and Its Applications in Healthcare
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    Chapter 7 Explainable AI Driven Applications for Patient Care and Treatment
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    Chapter 8 Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP
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    Chapter 9 A Smart System for the Assessment of Genuineness or Trustworthiness of the Tip-Off Using Audio Signals: An Explainable AI Approach
  11. Altmetric Badge
    Chapter 10 Face Mask Detection Based Entry Control Using XAI and IoT
  12. Altmetric Badge
    Chapter 11 Human-AI Interfaces are a Central Component of Trustworthy AI
Attention for Chapter 8: Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP
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Citations

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Chapter title
Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP
Chapter number 8
Book title
Explainable AI: Foundations, Methodologies and Applications
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-12807-3_8
Book ISBNs
978-3-03-112806-6, 978-3-03-112807-3
Authors

Onyekpe, Uche, Lu, Yang, Apostolopoulou, Eleni, Palade, Vasile, Eyo, Eyo Umo, Kanarachos, Stratis

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Environmental Science 1 33%
Unknown 2 67%

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