Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Springer International Publishing
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Timeline
X Demographics
| Title |
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
|
|---|---|
| Published by |
Springer International Publishing, January 2021
|
| DOI | 10.1007/978-3-030-88210-5 |
| ISBNs |
978-3-03-088209-9, 978-3-03-088210-5
|
| Editors |
Sandy Engelhardt, Ilkay Oksuz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Nguyen, Raphael Sznitman, Yuan Xue |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 19% |
| Canada | 1 | 6% |
| Germany | 1 | 6% |
| Turkey | 1 | 6% |
| United Kingdom | 1 | 6% |
| Netherlands | 1 | 6% |
| Japan | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Scientists | 4 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |