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Mendeley readers
Chapter title |
Multi-task Learning for Features Extraction in Financial Annual Reports
|
---|---|
Chapter number | 1 |
Book title |
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-23633-4_1 |
Book ISBNs |
978-3-03-123632-7, 978-3-03-123633-4
|
Authors |
Montariol, Syrielle, Martinc, Matej, Pelicon, Andraž, Pollak, Senja, Koloski, Boshko, Lončarski, Igor, Valentinčič, Aljoša, Šuštar, Katarina Sitar, Ichev, Riste, Žnidaršič, Martin |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 29% |
Professor | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Business, Management and Accounting | 1 | 14% |
Economics, Econometrics and Finance | 1 | 14% |
Unknown | 3 | 43% |