Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5879
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dc.contributor.authorCömert, Ceren-
dc.contributor.authorÖzbayoğlu, M.-
dc.contributor.authorKasnakoğlu, Coşku-
dc.date.accessioned2021-09-11T15:20:32Z-
dc.date.available2021-09-11T15:20:32Z-
dc.date.issued2021en_US
dc.identifier.citation7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021, 3 February 2021 through 5 February 2021, , 168272en_US
dc.identifier.isbn9780738132051-
dc.identifier.urihttps://doi.org/10.1109/ICMRE51691.2021.9384828-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5879-
dc.description.abstractThis paper provides information about prediction of our national painters from their paintings. Since most of the painters whose paintings are used in this research lived in the past, many of their artwork couldn't reach the present and couldn't be found on one web site on the internet. Moreover, some of them have paintings less than a hundred. As result, an original dataset is created from these painters paintings, which are collected at different sources. Since the art classification is a difficult task and takes many years to expertise, using machine learning techniques can provide efficiency. Purpose of this paper is to identify and classify national artists from their artwork using machine learning techniques. In order to solve art classification problem, transfer learning with four different architectures is used and the results are compared. © 2021 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2021 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartists classificationen_US
dc.subjectconvolutional neural networken_US
dc.subjecttransfer learningen_US
dc.titlePainter Prediction from Artworks with Transfer Learningen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage204en_US
dc.identifier.endpage208en_US
dc.identifier.wosWOS:000668930300035en_US
dc.identifier.scopus2-s2.0-85104829964en_US
dc.institutionauthorÖzbayoğlu, Ahmet Murat-
dc.institutionauthorKasnakoğlu, Coşku-
dc.identifier.doi10.1109/ICMRE51691.2021.9384828-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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