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Mendeley readers
Chapter title |
Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG
|
---|---|
Chapter number | 1 |
Book title |
Machine Learning, Optimization, and Data Science
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-13709-0_1 |
Book ISBNs |
978-3-03-013708-3, 978-3-03-013709-0
|
Authors |
Andrea Patanè, Marta Kwiatkowska, Patanè, Andrea, Kwiatkowska, Marta |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 8 | 24% |
Researcher | 4 | 12% |
Lecturer | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 1 | 3% |
Unknown | 7 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 41% |
Engineering | 8 | 24% |
Medicine and Dentistry | 3 | 9% |
Physics and Astronomy | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 21% |