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X Demographics
Mendeley readers
| Title |
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
|
|---|---|
| Published by |
Springer International Publishing, March 2019
|
| DOI | 10.1007/978-3-030-04663-7 |
| ISBNs |
978-3-03-004662-0, 978-3-03-004663-7
|
| Authors |
Vluymans, Sarah |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 67% |
| Student > Master | 2 | 22% |
| Researcher | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 67% |
| Computer Science | 2 | 22% |
| Agricultural and Biological Sciences | 1 | 11% |