Deep Learning and Current Trends in Machine Learning

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dc.authoridBostan, Atila/0000-0002-8540-7605
dc.authoridTurkmen, Guzin/0000-0003-0884-4876
dc.authoridEkin, Cansu Cigdem/0000-0003-4838-9708
dc.authorwosidKARAKAYA, Murat/A-4952-2013
dc.authorwosidBostan, Atila/AAY-2187-2020
dc.authorwosidŞengül, Gökhan/AAA-2788-2022
dc.authorwosidEkin, cansu/AFE-7836-2022
dc.authorwosidBostan, Atila/O-6678-2018
dc.authorwosidTurkmen, Guzin/G-9033-2019
dc.contributor.authorBostan, Atila
dc.contributor.authorSengul, Gokhan
dc.contributor.authorTirkes, Guzin
dc.contributor.authorEkin, Cansu
dc.contributor.authorKarakaya, Murat
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-10-06T10:58:27Z
dc.date.available2024-10-06T10:58:27Z
dc.date.issued2018
dc.departmentAtılım Universityen_US
dc.department-temp[Bostan, Atila; Sengul, Gokhan; Tirkes, Guzin; Ekin, Cansu; Karakaya, Murat] Atilim Univ, Dept Comp Engn, Ankara, Turkeyen_US
dc.descriptionBostan, Atila/0000-0002-8540-7605; Turkmen, Guzin/0000-0003-0884-4876; Ekin, Cansu Cigdem/0000-0003-4838-9708en_US
dc.description.abstractAcademic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation0
dc.identifier.doi[WOS-DOI-BELIRLENECEK-100]
dc.identifier.endpage470en_US
dc.identifier.isbn9781538678930
dc.identifier.scopusqualityN/A
dc.identifier.startpage467en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14411/8907
dc.identifier.wosWOS:000459847400090
dc.identifier.wosqualityN/A
dc.institutionauthorBostan, Atila
dc.institutionauthorŞengül, Gökhan
dc.institutionauthorTürkmen, Güzin
dc.institutionauthorEkin, Cansu Çiğdem
dc.institutionauthorKarakaya, Kasım Murat
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEGen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDLen_US
dc.subjectMLen_US
dc.subjectImage Processingen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectCurrent Trendsen_US
dc.titleDeep Learning and Current Trends in Machine Learningen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isAuthorOfPublication6ba797de-1a42-4c28-bbdc-867221fad30c
relation.isAuthorOfPublication93f27ee1-19eb-42dc-b4eb-a3cc7dc4b057
relation.isAuthorOfPublication.latestForDiscoveryd46977b1-8c5f-48c5-b14f-617a2691d9dd
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relation.isOrgUnitOfPublication.latestForDiscoverye0809e2c-77a7-4f04-9cb0-4bccec9395fa

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