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Explainable Artificial Intelligence

Overview of attention for book
Cover of 'Explainable Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 XAI Requirements in Smart Production Processes: A Case Study
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    Chapter 2 Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI
  4. Altmetric Badge
    Chapter 3 Dear XAI Community, We Need to Talk!
  5. Altmetric Badge
    Chapter 4 Speeding Things Up. Can Explainability Improve Human Learning?
  6. Altmetric Badge
    Chapter 5 Statutory Professions in AI Governance and Their Consequences for Explainable AI
  7. Altmetric Badge
    Chapter 6 The Xi Method: Unlocking the Mysteries of Regression with Statistics
  8. Altmetric Badge
    Chapter 7 Do Intermediate Feature Coalitions Aid Explainability of Black-Box Models?
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    Chapter 8 Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values
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    Chapter 9 Strategies to Exploit XAI to Improve Classification Systems
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    Chapter 10 Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI
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    Chapter 11 iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
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    Chapter 12 SAC-FACT: Soft Actor-Critic Reinforcement Learning for Counterfactual Explanations
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    Chapter 13 Algorithm-Agnostic Feature Attributions for Clustering
  15. Altmetric Badge
    Chapter 14 Feature Importance versus Feature Influence and What It Signifies for Explainable AI
  16. Altmetric Badge
    Chapter 15 ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations
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    Chapter 16 The Importance of Time in Causal Algorithmic Recourse
  18. Altmetric Badge
    Chapter 17 Explaining Model Behavior with Global Causal Analysis
  19. Altmetric Badge
    Chapter 18 Counterfactual Explanations for Graph Classification Through the Lenses of Density
  20. Altmetric Badge
    Chapter 19 Ablation Path Saliency
  21. Altmetric Badge
    Chapter 20 IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness
  22. Altmetric Badge
    Chapter 21 The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers
  23. Altmetric Badge
    Chapter 22 Reason to Explain: Interactive Contrastive Explanations ( REASONX )
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    Chapter 23 Sanity Checks for Saliency Methods Explaining Object Detectors
  25. Altmetric Badge
    Chapter 24 Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
  26. Altmetric Badge
    Chapter 25 Evaluating Feature Relevance XAI in Network Intrusion Detection
  27. Altmetric Badge
    Chapter 26 Cost of Explainability in AI: An Example with Credit Scoring Models
  28. Altmetric Badge
    Chapter 27 Lorenz Zonoids for Trustworthy AI
  29. Altmetric Badge
    Chapter 28 Explainable Machine Learning for Bag of Words-Based Phishing Detection
  30. Altmetric Badge
    Chapter 29 An Evaluation of Contextual Importance and Utility for Outcome Explanation of Black-Box Predictions for Medical Datasets
  31. Altmetric Badge
    Chapter 30 Evaluating Explanations of an Alzheimer’s Disease 18F-FDG Brain PET Black-Box Classifier
  32. Altmetric Badge
    Chapter 31 The Accuracy and Faithfullness of AL-DLIME - Active Learning-Based Deterministic Local Interpretable Model-Agnostic Explanations: A Comparison with LIME and DLIME in Medicine
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    Chapter 32 Understanding Unsupervised Learning Explanations Using Contextual Importance and Utility
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    Chapter 33 Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making
  35. Altmetric Badge
    Chapter 34 Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression
  36. Altmetric Badge
    Chapter 35 An Interactive XAI Interface with Application in Healthcare for Non-experts
  37. Altmetric Badge
    Chapter 36 Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method
Attention for Chapter 26: Cost of Explainability in AI: An Example with Credit Scoring Models
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

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Chapter title
Cost of Explainability in AI: An Example with Credit Scoring Models
Chapter number 26
Book title
Explainable Artificial Intelligence
Published in
Communications in Computer and Information Science, January 2023
DOI 10.1007/978-3-031-44064-9_26
Book ISBNs
978-3-03-144063-2, 978-3-03-144064-9
Authors

Dessain, Jean, Bentaleb, Nora, Vinas, Fabien

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Student > Bachelor 1 8%
Unknown 8 67%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 25%
Unspecified 1 8%
Unknown 8 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2024.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#163,724
of 482,636 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 482,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them