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Mendeley readers
Chapter title |
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance
|
---|---|
Chapter number | 19 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59650-1_19 |
Book ISBNs |
978-3-31-959649-5, 978-3-31-959650-1
|
Authors |
Francisco J. Pulgar, Antonio J. Rivera, Francisco Charte, María J. del Jesus |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 23% |
Researcher | 4 | 18% |
Student > Doctoral Student | 2 | 9% |
Student > Postgraduate | 2 | 9% |
Professor | 1 | 5% |
Other | 2 | 9% |
Unknown | 6 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 32% |
Engineering | 2 | 9% |
Environmental Science | 1 | 5% |
Economics, Econometrics and Finance | 1 | 5% |
Arts and Humanities | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 45% |