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Mendeley readers
Chapter title |
Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications
|
---|---|
Chapter number | 31 |
Book title |
Intelligent Data Engineering and Automated Learning - IDEAL 2011
|
Published by |
Springer, Berlin, Heidelberg, September 2011
|
DOI | 10.1007/978-3-642-23878-9_31 |
Book ISBNs |
978-3-64-223877-2, 978-3-64-223878-9
|
Authors |
Mokhairi Makhtar, Daniel C. Neagu, Mick J. Ridley, Makhtar, Mokhairi, Neagu, Daniel C., Ridley, Mick J. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 27% |
Student > Bachelor | 3 | 12% |
Student > Master | 3 | 12% |
Student > Doctoral Student | 2 | 8% |
Professor | 1 | 4% |
Other | 2 | 8% |
Unknown | 8 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 35% |
Agricultural and Biological Sciences | 3 | 12% |
Engineering | 3 | 12% |
Medicine and Dentistry | 2 | 8% |
Economics, Econometrics and Finance | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 31% |