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X Demographics
Mendeley readers
| Chapter title |
Learning Functional Causal Models with Generative Neural Networks
|
|---|---|
| Chapter number | 3 |
| Book title |
Explainable and Interpretable Models in Computer Vision and Machine Learning
|
| Published by |
Springer, Cham, November 2018
|
| DOI | 10.1007/978-3-319-98131-4_3 |
| Book ISBNs |
978-3-31-998130-7, 978-3-31-998131-4
|
| Authors |
Olivier Goudet, Diviyan Kalainathan, Philippe Caillou, Isabelle Guyon, David Lopez-Paz, Michèle Sebag |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 259 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 27% |
| Student > Master | 41 | 16% |
| Researcher | 34 | 13% |
| Student > Bachelor | 17 | 7% |
| Student > Doctoral Student | 11 | 4% |
| Other | 30 | 12% |
| Unknown | 57 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 124 | 48% |
| Engineering | 21 | 8% |
| Mathematics | 12 | 5% |
| Economics, Econometrics and Finance | 8 | 3% |
| Chemistry | 4 | 2% |
| Other | 28 | 11% |
| Unknown | 62 | 24% |