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 |
The Prevalence of Errors in Machine Learning Experiments
|
---|---|
Chapter number | 12 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-33607-3_12 |
Book ISBNs |
978-3-03-033606-6, 978-3-03-033607-3
|
Authors |
Martin Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi, Shepperd, Martin, Guo, Yuchen, Li, Ning, Arzoky, Mahir, Capiluppi, Andrea, Counsell, Steve, Destefanis, Giuseppe, Swift, Stephen, Tucker, Allan, Yousefi, Leila |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 15% |
Other | 2 | 10% |
Lecturer | 2 | 10% |
Student > Doctoral Student | 2 | 10% |
Student > Bachelor | 2 | 10% |
Other | 6 | 30% |
Unknown | 3 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 30% |
Engineering | 2 | 10% |
Chemistry | 2 | 10% |
Mathematics | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Other | 4 | 20% |
Unknown | 4 | 20% |