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Mendeley readers
| Chapter title |
Assessment of Autoencoder Architectures for Data Representation
|
|---|---|
| Chapter number | 4 |
| Book title |
Deep Learning: Concepts and Architectures
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-31756-0_4 |
| Book ISBNs |
978-3-03-031755-3, 978-3-03-031756-0
|
| Authors |
Karishma Pawar, Vahida Z. Attar, Pawar, Karishma, Attar, Vahida Z. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 25% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 2 | 7% |
| Researcher | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 12 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 29% |
| Engineering | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 13 | 46% |