xxAI - Beyond Explainable AI
Springer International Publishing
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Mendeley readers
| Chapter title |
Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science
|
|---|---|
| Book title |
xxAI - Beyond Explainable AI
|
| Published by |
Springer, Cham, April 2022
|
| DOI | 10.1007/978-3-031-04083-2_16 |
| Book ISBNs |
978-3-03-104082-5, 978-3-03-104083-2
|
| Authors |
Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes, Mamalakis, Antonios, Ebert-Uphoff, Imme, Barnes, Elizabeth A. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Master | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 12 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 19% |
| Business, Management and Accounting | 3 | 11% |
| Computer Science | 2 | 7% |
| Earth and Planetary Sciences | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 11 | 41% |