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| Title |
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
|
|---|---|
| Published by |
Springer International Publishing, January 2019
|
| DOI | 10.1007/978-3-030-28954-6 |
| ISBNs |
978-3-03-028953-9, 978-3-03-028954-6
|
| Editors |
Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Muller |
Twitter Demographics
The data shown below were collected from the profiles of 73 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 19% |
| Denmark | 8 | 11% |
| Japan | 4 | 5% |
| Canada | 3 | 4% |
| Spain | 3 | 4% |
| United Kingdom | 3 | 4% |
| India | 3 | 4% |
| Germany | 3 | 4% |
| Austria | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 23 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 48 | 66% |
| Scientists | 23 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 299 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 26% |
| Student > Master | 58 | 19% |
| Researcher | 40 | 13% |
| Student > Bachelor | 32 | 11% |
| Professor | 10 | 3% |
| Other | 34 | 11% |
| Unknown | 46 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 105 | 35% |
| Engineering | 47 | 16% |
| Neuroscience | 9 | 3% |
| Earth and Planetary Sciences | 8 | 3% |
| Business, Management and Accounting | 7 | 2% |
| Other | 62 | 21% |
| Unknown | 61 | 20% |