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 |
Quantifying Model Complexity via Functional Decomposition for Better Post-hoc Interpretability
|
---|---|
Chapter number | 17 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-43823-4_17 |
Book ISBNs |
978-3-03-043822-7, 978-3-03-043823-4
|
Authors |
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl, Molnar, Christoph, Casalicchio, Giuseppe, Bischl, Bernd |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 28% |
Student > Master | 8 | 14% |
Researcher | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Lecturer | 2 | 3% |
Other | 7 | 12% |
Unknown | 18 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 40% |
Engineering | 5 | 9% |
Mathematics | 2 | 3% |
Business, Management and Accounting | 2 | 3% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 3 | 5% |
Unknown | 22 | 38% |