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 |
Machine Learning-Based System for Detecting Unseen Malicious Software
|
---|---|
Chapter number | 2 |
Book title |
Applications in Electronics Pervading Industry, Environment and Society
|
Published in |
Lecture Notes in Electrical Engineering, August 2015
|
DOI | 10.1007/978-3-319-20227-3_2 |
Book ISBNs |
978-3-31-920226-6, 978-3-31-920227-3
|
Authors |
Federica Bisio, Paolo Gastaldo, Claudia Meda, Stefano Nasta, Rodolfo Zunino |
Editors |
Alessandro De Gloria |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 29% |
Student > Ph. D. Student | 1 | 14% |
Lecturer > Senior Lecturer | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Engineering | 1 | 14% |
Unknown | 3 | 43% |