Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/44848
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dc.contributor.authorPHAM, Hoàng Son-
dc.contributor.authorNEYENS, Evy-
dc.contributor.authorALI ELDIN, Amr-
dc.date.accessioned2024-12-16T09:16:04Z-
dc.date.available2024-12-16T09:16:04Z-
dc.date.issued2024-
dc.date.submitted2024-12-12T15:38:39Z-
dc.identifier.citationArai, K. (Ed.). Intelligent systems and applications, Vol 2, Intellisys 2024, SPRINGER INTERNATIONAL PUBLISHING AG, p. 348 -359-
dc.identifier.isbn978-3-031-66427-4; 978-3-031-66428-1-
dc.identifier.issn2367-3370-
dc.identifier.urihttp://hdl.handle.net/1942/44848-
dc.description.sponsorshipThe funding sources obtained from project metadata were in string format. To convert them from categorical to numerical data, we utilized a label encoding technique, assigning each funding source a unique integer number.-
dc.language.isoen-
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG-
dc.relation.ispartofseriesLecture Notes in Networks and Systems-
dc.rightsThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024-
dc.subject.otherOpen science-
dc.subject.otherOpen access-
dc.subject.otherIndicator development-
dc.subject.otherRegression model-
dc.titleA Machine Learning Approach to Predicting Open Access Support in Research Projects-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsArai, K.-
local.bibliographicCitation.conferencedate2024, September 05-06-
local.bibliographicCitation.conferencenameIntelligent Systems Conference-
local.bibliographicCitation.conferenceplaceAmsterdam, NETHERLANDS-
dc.identifier.epage359-
dc.identifier.spage348-
dc.identifier.volume1066-
local.format.pages12-
local.bibliographicCitation.jcatC1-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1007/978-3-031-66428-1_21-
dc.identifier.isi001313755900021-
dc.identifier.eissn2367-3389-
local.provider.typewosris-
local.bibliographicCitation.btitleIntelligent systems and applications, Vol 2, Intellisys 2024-
local.uhasselt.internationalno-
item.contributorPHAM, Hoàng Son-
item.contributorNEYENS, Evy-
item.contributorALI ELDIN, Amr-
item.fullcitationPHAM, Hoàng Son; NEYENS, Evy & ALI ELDIN, Amr (2024) A Machine Learning Approach to Predicting Open Access Support in Research Projects. In: Arai, K. (Ed.). Intelligent systems and applications, Vol 2, Intellisys 2024, SPRINGER INTERNATIONAL PUBLISHING AG, p. 348 -359.-
item.embargoEndDate2025-07-31-
item.fulltextWith Fulltext-
item.accessRightsEmbargoed Access-
Appears in Collections:Research publications
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Intelligent Systems and Applications.pdf
  Restricted Access		Published version1.5 MBAdobe PDFView/Open    Request a copy
IDR_open_access_prediction_intelliSys2024.pdf
  Until 2025-07-31		Peer-reviewed author version461.24 kBAdobe PDFView/Open    Request a copy
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