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 |
Predicting Endogenous Bank Health from FDIC Statistics on Depository Institutions Using Deep Learning
|
---|---|
Chapter number | 38 |
Book title |
Intelligent Computing
|
Published by |
Springer, Cham, July 2019
|
DOI | 10.1007/978-3-030-22871-2_38 |
Book ISBNs |
978-3-03-022870-5, 978-3-03-022871-2
|
Authors |
David Jungreis, Noah Capp, Meysam Golmohammadi, Joseph Picone, Jungreis, David, Capp, Noah, Golmohammadi, Meysam, Picone, Joseph |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer > Senior Lecturer | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Professor | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Researcher | 1 | 9% |
Other | 0 | 0% |
Unknown | 6 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 3 | 27% |
Arts and Humanities | 1 | 9% |
Unknown | 7 | 64% |