Predicting Students' Performance with School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine

dc.contributor.author	Chui, K. T.
dc.contributor.author	Liu, R. W.
dc.contributor.author	Zhao, M.
dc.contributor.author	Ordóñez de Pablos, Patricia
dc.date.accessioned	2020-09-24T07:43:41Z
dc.date.available	2020-09-24T07:43:41Z
dc.date.issued	2020
dc.identifier.citation	IEEE Access, 8, p. 86745, 9087871-86752 (2020); doi:10.1109/ACCESS.2020.2992869
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10651/56460
dc.format.extent	p. 86745, 9087871-86752
dc.language.iso	eng
dc.relation.ispartof	IEEE Access
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085206783&doi=10.1109%2fACCESS.2020.2992869&partnerID=40&md5=537d7de6a81d74863442f8817ad79710
dc.title	Predicting Students' Performance with School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine
dc.type	journal article
dc.identifier.doi	10.1109/ACCESS.2020.2992869
dc.relation.publisherversion	http://dx.doi.org/10.1109/ACCESS.2020.2992869

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