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Mendeley readers
| Chapter title |
Designing Explainable Text Classification Pipelines: Insights from IT Ticket Complexity Prediction Case Study
|
|---|---|
| Chapter number | 10 |
| Book title |
Interpretable Artificial Intelligence: A Perspective of Granular Computing
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-64949-4_10 |
| Book ISBNs |
978-3-03-064948-7, 978-3-03-064949-4
|
| Authors |
Revina, Aleksandra, Buza, Krisztian, Meister, Vera G. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 31% |
| Student > Ph. D. Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 3 | 19% |
| Computer Science | 3 | 19% |
| Mathematics | 1 | 6% |
| Linguistics | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |