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Generative Adversarial Learning: Architectures and Applications

Overview of attention for book
Generative Adversarial Learning: Architectures and Applications
Springer International Publishing
Attention for Chapter: Quaternion Generative Adversarial Networks
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6 X users

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Chapter title
Quaternion Generative Adversarial Networks
Book title
Generative Adversarial Learning: Architectures and Applications
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-030-91390-8_4
Book ISBNs
978-3-03-091389-2, 978-3-03-091390-8
Authors

Grassucci, Eleonora, Cicero, Edoardo, Comminiello, Danilo

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X Demographics

The data shown below were collected from the profiles of 6 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 20%
Researcher 1 20%
Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Mathematics 1 20%
Computer Science 1 20%
Physics and Astronomy 1 20%
Unknown 2 40%