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Mendeley readers
| Chapter title |
Considerations for Evaluation and Generalization in Interpretable Machine Learning
|
|---|---|
| Chapter number | 1 |
| 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_1 |
| Book ISBNs |
978-3-31-998130-7, 978-3-31-998131-4
|
| Authors |
Finale Doshi-Velez, Been Kim |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 19% |
| Student > Master | 26 | 16% |
| Researcher | 11 | 7% |
| Student > Doctoral Student | 11 | 7% |
| Student > Bachelor | 8 | 5% |
| Other | 27 | 16% |
| Unknown | 53 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 73 | 44% |
| Engineering | 16 | 10% |
| Medicine and Dentistry | 4 | 2% |
| Business, Management and Accounting | 3 | 2% |
| Nursing and Health Professions | 2 | 1% |
| Other | 13 | 8% |
| Unknown | 56 | 34% |