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Mendeley readers
Chapter title |
Effective Voting of Heterogeneous Classifiers
|
---|---|
Chapter number | 43 |
Book title |
Machine Learning: ECML 2004
|
Published by |
Springer Berlin Heidelberg, January 2004
|
DOI | 10.1007/978-3-540-30115-8_43 |
Book ISBNs |
978-3-54-023105-9, 978-3-54-030115-8
|
Authors |
Grigorios Tsoumakas, Ioannis Katakis, Ioannis Vlahavas |
Editors |
Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 3% |
United Kingdom | 1 | 3% |
Canada | 1 | 3% |
Mexico | 1 | 3% |
Spain | 1 | 3% |
Unknown | 29 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Professor > Associate Professor | 6 | 18% |
Student > Bachelor | 3 | 9% |
Student > Postgraduate | 2 | 6% |
Researcher | 2 | 6% |
Other | 6 | 18% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 53% |
Engineering | 4 | 12% |
Mathematics | 3 | 9% |
Business, Management and Accounting | 1 | 3% |
Environmental Science | 1 | 3% |
Other | 2 | 6% |
Unknown | 5 | 15% |