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Mendeley readers
Chapter title |
SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks
|
---|---|
Chapter number | 7 |
Book title |
AI 2017: Advances in Artificial Intelligence
|
Published by |
Springer, Cham, August 2017
|
DOI | 10.1007/978-3-319-63004-5_7 |
Book ISBNs |
978-3-31-963003-8, 978-3-31-963004-5
|
Authors |
Lingwei Chen, Yanfang Ye |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 19% |
Researcher | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Student > Master | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Other | 2 | 10% |
Unknown | 8 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 52% |
Engineering | 2 | 10% |
Unknown | 8 | 38% |