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Explainable and Interpretable Models in Computer Vision and Machine Learning

Overview of attention for book
Attention for Chapter 9: Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening
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Citations

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85 Mendeley
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Chapter title
Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening
Chapter number 9
Book title
Explainable and Interpretable Models in Computer Vision and Machine Learning
Published in
Explainable and Interpretable Models in Computer Vision and Machine Learning, November 2018
DOI 10.1007/978-3-319-98131-4_9
Book ISBNs
978-3-31-998130-7, 978-3-31-998131-4
Authors

Cynthia C. S. Liem, Markus Langer, Andrew Demetriou, Annemarie M. F. Hiemstra, Achmadnoer Sukma Wicaksana, Marise Ph. Born, Cornelius J. König, Liem, C.C.S., Langer, Markus, Demetriou, A.M., Hiemstra, Annemarie M.F., Achmadnoer Sukma Wicaksana, Sukma, Born, Marise Ph., König, Cornelis J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Student > Master 14 16%
Researcher 6 7%
Lecturer 4 5%
Student > Doctoral Student 4 5%
Other 13 15%
Unknown 24 28%
Readers by discipline Count As %
Psychology 20 24%
Computer Science 15 18%
Social Sciences 6 7%
Business, Management and Accounting 5 6%
Design 2 2%
Other 8 9%
Unknown 29 34%