Report for: Artificial Neural Networks and Machine Learning – ICANN 2013 (original) (raw)

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Article details

Title Artificial Neural Networks and Machine Learning – ICANN 2013
Published by Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-40728-4
ISBNs 978-3-64-240727-7, 978-3-64-240728-4
Editors Mladenov, Valeri, Koprinkova-Hristova, Petia, Palm, Günther, Villa, Alessandro E. P., Appollini, Bruno, Kasabov, Nikola

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Timeline X Demographics

X Demographics

Geographical breakdown

Geographical breakdown

Country Count As %
Philippines 1 100%

Demographic breakdown

Type

Type Count As %
Members of the public 1 100%

Mendeley readers

Mendeley readers

Geographical breakdown

Geographical breakdown

Country Count As %
Unknown 321 100%

Demographic breakdown

Readers by professional status

Readers by professional status Count As %
Student > Ph. D. Student 4 1%
Student > Bachelor 2 <1%
Professor 1 <1%
Student > Master 1 <1%
Researcher 1 <1%
Other 0 0%
Unknown 312 97%

Readers by discipline

Readers by discipline Count As %
Computer Science 5 2%
Mathematics 2 <1%
Physics and Astronomy 1 <1%
Engineering 1 <1%
Unknown 312 97%