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Ensembling Machine Learning Models for Malware Detection

dc.contributor.authorGaldames, Patricio
dc.contributor.authorGutiérrez-Soto, Claudio
dc.contributor.authorPalomino, Marco
dc.contributor.editorHajian, A.
dc.contributor.editorBaloian, N.
dc.contributor.editorInoue, T.
dc.contributor.editorLuther, W.
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2024-09-11T13:51:01Z
dc.date.available2024-09-11T13:51:01Z
dc.date.issued2024-10-04
dc.descriptionThe online edition of this work is also freely accessible via DuEPublico, the University Library Duisburg-Essen repository, and can be used under a Creative Commons License (CC BY-NC-SA 4.0, https://creativecommons.org/licenses/bync-sa/4.0/).en
dc.format.extent13
dc.format.extent12158489
dc.identifier293289637
dc.identifierbeaedee1-4216-4ba1-955d-55e7e698b7b7
dc.identifier.citationGaldames, P, Gutiérrez-Soto, C & Palomino, M 2024, Ensembling Machine Learning Models for Malware Detection. in A Hajian, N Baloian, T Inoue & W Luther (eds), Data Science and Reliable Machine Learning. Logos Verlag, Berlin, pp. 47-60, CODASSCA 2024, Yerevan, Armenia, 3/10/24. https://doi.org/10.30819/5855en
dc.identifier.citationconferenceen
dc.identifier.doi10.30819/5855
dc.identifier.isbn978-3-8325-5855-0
dc.identifier.otherORCID: /0000-0001-7850-416X/work/186969006
dc.identifier.urihttps://hdl.handle.net/2164/24210
dc.identifier.urlhttps://zenodo.org/records/13461965en
dc.language.isoeng
dc.publisherLogos Verlag
dc.relation.ispartofData Science and Reliable Machine Learningen
dc.subjectSDG 11 - Sustainable Cities and Communitiesen
dc.subjectmalware detectionen
dc.subjectensemble learningen
dc.subjectmachine learningen
dc.subjectstatic analysisen
dc.subjectmeta-learnersen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleEnsembling Machine Learning Models for Malware Detectionen
dc.typeConference itemen

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