↓ Skip to main content

Human and Machine Learning

Overview of attention for book
Cover of 'Human and Machine Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 2D Transparency Space—Bring Domain Users and Machine Learning Experts Together
  3. Altmetric Badge
    Chapter 2 Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems
  4. Altmetric Badge
    Chapter 3 Beyond Human-in-the-Loop: Empowering End-Users with Transparent Machine Learning
  5. Altmetric Badge
    Chapter 4 Effective Design in Human and Machine Learning: A Cognitive Perspective
  6. Altmetric Badge
    Chapter 5 Transparency Communication for Machine Learning in Human-Automation Interaction
  7. Altmetric Badge
    Chapter 6 Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation
  8. Altmetric Badge
    Chapter 7 Critical Challenges for the Visual Representation of Deep Neural Networks
  9. Altmetric Badge
    Chapter 8 Explaining the Predictions of an Arbitrary Prediction Model: Feature Contributions and Quasi-nomograms
  10. Altmetric Badge
    Chapter 9 Perturbation-Based Explanations of Prediction Models
  11. Altmetric Badge
    Chapter 10 Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with “Expert-in-the-Loop”
  12. Altmetric Badge
    Chapter 11 Revealing User Confidence in Machine Learning-Based Decision Making
  13. Altmetric Badge
    Chapter 12 Do I Trust a Machine? Differences in User Trust Based on System Performance
  14. Altmetric Badge
    Chapter 13 Trust of Learning Systems: Considerations for Code, Algorithms, and Affordances for Learning
  15. Altmetric Badge
    Chapter 14 Trust and Transparency in Machine Learning-Based Clinical Decision Support
  16. Altmetric Badge
    Chapter 15 Group Cognition and Collaborative AI
  17. Altmetric Badge
    Chapter 16 User-Centred Evaluation for Machine Learning
  18. Altmetric Badge
    Chapter 17 Evaluation of Interactive Machine Learning Systems
  19. Altmetric Badge
    Chapter 18 Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge
  20. Altmetric Badge
    Chapter 19 Analytical Modelling of Point Process and Application to Transportation
  21. Altmetric Badge
    Chapter 20 Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features
  22. Altmetric Badge
    Chapter 21 Domain Knowledge in Predictive Maintenance for Water Pipe Failures
  23. Altmetric Badge
    Chapter 22 Interactive Machine Learning for Applications in Food Science
Attention for Chapter 17: Evaluation of Interactive Machine Learning Systems
Altmetric Badge

Mentioned by

3 X users


40 Dimensions

Readers on

97 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Evaluation of Interactive Machine Learning Systems
Chapter number 17
Book title
Human and Machine Learning
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-90403-0_17
Book ISBNs
978-3-31-990402-3, 978-3-31-990403-0

Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton, Boukhelifa, Nadia, Bezerianos, Anastasia, Lutton, Evelyne

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 30%
Student > Master 15 15%
Student > Bachelor 9 9%
Professor > Associate Professor 6 6%
Student > Doctoral Student 5 5%
Other 17 18%
Unknown 16 16%
Readers by discipline Count As %
Computer Science 51 53%
Business, Management and Accounting 5 5%
Engineering 5 5%
Linguistics 3 3%
Design 3 3%
Other 10 10%
Unknown 20 21%