Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/44848| Title: | A Machine Learning Approach to Predicting Open Access Support in Research Projects | Authors: | PHAM, Hoàng Son NEYENS, Evy ALI ELDIN, Amr |
Issue Date: | 2024 | Publisher: | SPRINGER INTERNATIONAL PUBLISHING AG | Source: | Arai, K. (Ed.). Intelligent systems and applications, Vol 2, Intellisys 2024, SPRINGER INTERNATIONAL PUBLISHING AG, p. 348 -359 | Series/Report: | Lecture Notes in Networks and Systems | Keywords: | Open science;Open access;Indicator development;Regression model | Document URI: | http://hdl.handle.net/1942/44848 | ISBN: | 978-3-031-66427-4; 978-3-031-66428-1 | DOI: | 10.1007/978-3-031-66428-1_21 | ISI #: | 001313755900021 | Rights: | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024 | Category: | C1 | Type: | Proceedings Paper |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Intelligent Systems and Applications.pdf Restricted Access | Published version | 1.5 MB | Adobe PDF | View/Open Request a copy |
| IDR_open_access_prediction_intelliSys2024.pdf Until 2025-07-31 | Peer-reviewed author version | 461.24 kB | Adobe PDF | View/Open Request a copy |
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