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X Demographics
Mendeley readers
Chapter title |
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations
|
---|---|
Chapter number | 2 |
Book title |
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33391-1_2 |
Book ISBNs |
978-3-03-033390-4, 978-3-03-033391-1
|
Authors |
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris, Valvano, Gabriele, Chartsias, Agisilaos, Leo, Andrea, Tsaftaris, Sotirios A. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
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 | 12 | 32% |
Student > Master | 6 | 16% |
Researcher | 3 | 8% |
Student > Bachelor | 2 | 5% |
Professor | 2 | 5% |
Other | 4 | 11% |
Unknown | 9 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 45% |
Engineering | 6 | 16% |
Unspecified | 2 | 5% |
Medicine and Dentistry | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 29% |