Hybrid Framework for Genomic Data Classification Using Deep Learning: QDeep_SVM

Karetla, GR Catchpoole, DR Nguyen, QV

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Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: Machine Intelligence and Data Science Applications, 2023, pp. 451-463
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Karetla, GR
dc.contributor.author	Catchpoole, DR
dc.contributor.author	Nguyen, QV
dc.date.accessioned	2024-03-04T05:19:04Z
dc.date.available	2024-03-04T05:19:04Z
dc.date.issued	2023
dc.identifier.citation	Machine Intelligence and Data Science Applications, 2023, pp. 451-463
dc.identifier.isbn	9789819916191
dc.identifier.uri	http://hdl.handle.net/10453/176078
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Machine Intelligence and Data Science Applications
dc.relation.ispartofseries	Algorithms for Intelligent Systems
dc.relation.isbasedon	10.1007/978-981-99-1620-7_36
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Hybrid Framework for Genomic Data Classification Using Deep Learning: QDeep_SVM
dc.type	Chapter
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-04T05:19:03Z
pubs.publication-status	Published

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