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Mendeley readers
Chapter title |
Measuring Unfairness Through Game-Theoretic Interpretability
|
---|---|
Chapter number | 22 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-43823-4_22 |
Book ISBNs |
978-3-03-043822-7, 978-3-03-043823-4
|
Authors |
Juliana Cesaro, Fabio Gagliardi Cozman, Cesaro, Juliana, Gagliardi Cozman, Fabio |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 20% |
Student > Master | 2 | 13% |
Student > Bachelor | 2 | 13% |
Student > Ph. D. Student | 1 | 7% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 27% |
Environmental Science | 1 | 7% |
Chemical Engineering | 1 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Economics, Econometrics and Finance | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |