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Mendeley readers
Chapter title |
From Abstract Items to Latent Spaces to Observed Data and Back: Compositional Variational Auto-Encoder
|
---|---|
Chapter number | 17 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-46150-8_17 |
Book ISBNs |
978-3-03-046149-2, 978-3-03-046150-8
|
Authors |
Victor Berger, Michèle Sebag, Berger, Victor, Sebag, Michèle |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 43% |
Researcher | 3 | 21% |
Student > Master | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Lecturer | 1 | 7% |
Other | 0 | 0% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 50% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Mathematics | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Other | 1 | 7% |
Unknown | 2 | 14% |