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 |
Improving Subject-Independent EEG Preference Classification Using Deep Learning Architectures with Dropouts
|
---|---|
Chapter number | 38 |
Book title |
Advances in Information and Communication Networks
|
Published by |
Springer, Cham, April 2018
|
DOI | 10.1007/978-3-030-03402-3_38 |
Book ISBNs |
978-3-03-003401-6, 978-3-03-003402-3
|
Authors |
Jason Teo, Lin Hou Chew, James Mountstephens, Teo, Jason, Chew, Lin Hou, Mountstephens, James |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 13% |
Student > Doctoral Student | 3 | 13% |
Student > Master | 3 | 13% |
Lecturer | 2 | 9% |
Student > Bachelor | 2 | 9% |
Other | 4 | 17% |
Unknown | 6 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 30% |
Engineering | 4 | 17% |
Business, Management and Accounting | 2 | 9% |
Psychology | 1 | 4% |
Unspecified | 1 | 4% |
Other | 2 | 9% |
Unknown | 6 | 26% |