A machine-learning based approach to validating learning materials

dc.contributor.author	Ako Nai, F.
dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.contributor.author	Tan, Q.
dc.date.accessioned	2024-02-26T07:38:11Z
dc.date.available	2024-02-26T07:38:11Z
dc.date.issued	2023
dc.identifier.isbn	978-303142518-9
dc.identifier.issn	2367-3370
dc.identifier.uri	https://hdl.handle.net/10651/71515
dc.description	Iin Security for Information Systems, CISIS 2023 and International Conference on EUropean Transnational Education, ICEUTE (16th-14th. 2023. Salamanca, Spain)
dc.format.extent	p. 306-315
dc.language.iso	eng
dc.relation.ispartof	International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). Proceedings
dc.rights	© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171445498&doi=10.1007%2f978-3-031-42519-6_29&partnerID=40&md5=84c7fa1332bbdb456a6497608beaf8e7
dc.title	A machine-learning based approach to validating learning materials
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-42519-6_29
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-42519-6_29

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