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Mendeley readers
Chapter title |
PyCP: An Open-Source Conformal Predictions Toolkit
|
---|---|
Chapter number | 37 |
Book title |
Artificial Intelligence Applications and Innovations
|
Published by |
Springer, Berlin, Heidelberg, September 2013
|
DOI | 10.1007/978-3-642-41142-7_37 |
Book ISBNs |
978-3-64-241141-0, 978-3-64-241142-7
|
Authors |
Vineeth N. Balasubramanian, Aaron Baker, Matthew Yanez, Shayok Chakraborty, Sethuraman Panchanathan, Balasubramanian, Vineeth N., Baker, Aaron, Yanez, Matthew, Chakraborty, Shayok, Panchanathan, Sethuraman |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 37% |
Student > Master | 4 | 21% |
Researcher | 2 | 11% |
Lecturer | 1 | 5% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 3 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 32% |
Engineering | 3 | 16% |
Chemistry | 2 | 11% |
Mathematics | 1 | 5% |
Chemical Engineering | 1 | 5% |
Other | 2 | 11% |
Unknown | 4 | 21% |