| Title |
Automatic classifier selection for non-experts
|
|---|---|
| Published in |
Pattern Analysis and Applications, July 2012
|
| DOI | 10.1007/s10044-012-0280-z |
| Authors |
Matthias Reif, Faisal Shafait, Markus Goldstein, Thomas Breuel, Andreas Dengel |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 95 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 24% |
| Student > Master | 19 | 19% |
| Student > Bachelor | 10 | 10% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 5 | 5% |
| Other | 18 | 18% |
| Unknown | 19 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 60 | 59% |
| Engineering | 6 | 6% |
| Environmental Science | 2 | 2% |
| Economics, Econometrics and Finance | 2 | 2% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 8 | 8% |
| Unknown | 23 | 23% |