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| Chapter title |
Self-explaining AI as an Alternative to Interpretable AI
|
|---|---|
| Chapter number | 10 |
| Book title |
Artificial General Intelligence
|
| Published by |
Springer, Cham, September 2020
|
| DOI | 10.1007/978-3-030-52152-3_10 |
| Book ISBNs |
978-3-03-052151-6, 978-3-03-052152-3
|
| Authors |
Daniel C. Elton, Elton, Daniel C. |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 23% |
| Student > Master | 21 | 19% |
| Researcher | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 12 | 11% |
| Unknown | 25 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 38% |
| Engineering | 11 | 10% |
| Medicine and Dentistry | 4 | 4% |
| Business, Management and Accounting | 3 | 3% |
| Arts and Humanities | 3 | 3% |
| Other | 13 | 12% |
| Unknown | 34 | 31% |