Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/258
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dc.contributor.authorBOBICEV, Victoriaen_US
dc.contributor.authorHLAVCHEVA, Yuliaen_US
dc.contributor.authorKANISHCHEVA, Olgaen_US
dc.date.accessioned2020-03-28T13:03:12Z-
dc.date.available2020-03-28T13:03:12Z-
dc.date.issued2019-
dc.identifier.citationBOBICEV, V.; HLAVCEVA, Y.; KANISHCHEVA, O. Can Computers Catch the Authors Style? In: Proceedings of the 5-th Conference of Mathematical Society of Moldova, IMCS- 2019, September 28-October 1, 2019, Chisinau, Moldova, pp. 293-296, ISBN 978-9975-68- 378-4en_US
dc.identifier.isbn978-9975-68- 378-4-
dc.identifier.urihttp://cris.utm.md/handle/5014/258-
dc.description.abstractThe paper presents the experiments on authorship attribution for scientific articles written in Russian and Ukrainian. The main aim of this research is to explore the topic influence on author classification.en_US
dc.language.isoenen_US
dc.relationModels, methods and interfaces for control and optimization of intelligent manufacturing systems / Modele, metode și interfețe pentru conducerea și optimizarea sistemelor de fabricație inteligenteen_US
dc.relation.ispartofProceedings of the 5-th Conference of Mathematical Society of Moldovaen_US
dc.subjecttext classificationen_US
dc.subjectauthorship attributionen_US
dc.subjecttopic classificationen_US
dc.subjectmachine learning methodsen_US
dc.subjectcharacter based learningen_US
dc.titleCan Computers Catch the Authors Style?en_US
dc.typeArticleen_US
dc.relation.conferenceIMCS-2019en_US
item.grantfulltextopen-
item.languageiso639-1other-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Computer Science and Systems Engineering-
crisitem.author.parentorgFaculty of Computers, Informatics and Microelectronics-
crisitem.project.grantno15.817.02.28A-
Appears in Collections:Proceedings Papers
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