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X Demographics
Mendeley readers
Chapter title |
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study
|
---|---|
Chapter number | 5 |
Book title |
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-94120-2_5 |
Book ISBNs |
978-3-31-994119-6, 978-3-31-994120-2
|
Authors |
Francisco Jesús Martinez-Murcia, Andres Ortiz, Juan Manuel Gorriz, Javier Ramirez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Fermin Segovia, Martinez-Murcia, Francisco Jesús, Ortiz, Andres, Gorriz, Juan Manuel, Ramirez, Javier, Castillo-Barnes, Diego, Salas-Gonzalez, Diego, Segovia, Fermin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 42% |
Student > Master | 3 | 13% |
Professor | 3 | 13% |
Student > Bachelor | 2 | 8% |
Lecturer | 1 | 4% |
Other | 4 | 17% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 29% |
Engineering | 5 | 21% |
Unspecified | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Chemical Engineering | 1 | 4% |
Other | 4 | 17% |
Unknown | 5 | 21% |