You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection
|
---|---|
Chapter number | 54 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47426-3_54 |
Book ISBNs |
978-3-03-047425-6, 978-3-03-047426-3
|
Authors |
Van Nguyen, Trung Le, Olivier de Vel, Paul Montague, John Grundy, Dinh Phung, Nguyen, Van, Le, Trung, de Vel, Olivier, Montague, Paul, Grundy, John, Phung, Dinh |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Student > Master | 2 | 17% |
Unknown | 7 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 25% |
Engineering | 1 | 8% |
Unknown | 8 | 67% |