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 |
Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning
|
---|---|
Chapter number | 21 |
Book title |
Advances in Nature and Biologically Inspired Computing
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-27400-3_21 |
Book ISBNs |
978-3-31-927399-0, 978-3-31-927400-3
|
Authors |
Gabriela Grmanová, Viera Rozinajová, Anna Bou Ezzedine, Mária Lucká, Peter Lacko, Marek Lóderer, Petra Vrablecová, Peter Laurinec, Grmanová, Gabriela, Rozinajová, Viera, Ezzedine, Anna Bou, Lucká, Mária, Lacko, Peter, Lóderer, Marek, Vrablecová, Petra, Laurinec, Peter |
Editors |
Nelishia Pillay, Andries P. Engelbrecht, Ajith Abraham, Mathys C. du Plessis, Václav Snášel, Azah Kamilah Muda |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 40% |
Researcher | 2 | 20% |
Lecturer | 1 | 10% |
Student > Master | 1 | 10% |
Professor > Associate Professor | 1 | 10% |
Other | 0 | 0% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 80% |
Energy | 1 | 10% |
Unknown | 1 | 10% |