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Mendeley readers
Chapter title |
Fast Approximate Geodesics for Deep Generative Models
|
---|---|
Chapter number | 45 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-30484-3_45 |
Book ISBNs |
978-3-03-030483-6, 978-3-03-030484-3
|
Authors |
Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt, Chen, Nutan, Ferroni, Francesco, Klushyn, Alexej, Paraschos, Alexandros, Bayer, Justin, van der Smagt, Patrick |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 18% |
Student > Bachelor | 4 | 11% |
Student > Master | 4 | 11% |
Researcher | 4 | 11% |
Professor | 4 | 11% |
Other | 3 | 8% |
Unknown | 12 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 45% |
Engineering | 4 | 11% |
Mathematics | 1 | 3% |
Social Sciences | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 2 | 5% |
Unknown | 12 | 32% |