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X Demographics
Mendeley readers
| Title |
Matrix Profile-Based Interpretable Time Series Classifier
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2021
|
| DOI | 10.3389/frai.2021.699448 |
| Pubmed ID | |
| Authors |
Riccardo Guidotti, Matteo D’Onofrio |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 28% |
| Student > Master | 3 | 17% |
| Student > Ph. D. Student | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Engineering | 2 | 11% |
| Mathematics | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |