Deep Learning and Current Trends in Machine Learning
| dc.authorid | Bostan, Atila/0000-0002-8540-7605 | |
| dc.authorid | Turkmen, Guzin/0000-0003-0884-4876 | |
| dc.authorid | Ekin, Cansu Cigdem/0000-0003-4838-9708 | |
| dc.authorwosid | KARAKAYA, Murat/A-4952-2013 | |
| dc.authorwosid | Bostan, Atila/AAY-2187-2020 | |
| dc.authorwosid | Şengül, Gökhan/AAA-2788-2022 | |
| dc.authorwosid | Ekin, cansu/AFE-7836-2022 | |
| dc.authorwosid | Bostan, Atila/O-6678-2018 | |
| dc.authorwosid | Turkmen, Guzin/G-9033-2019 | |
| dc.contributor.author | Bostan, Atila | |
| dc.contributor.author | Sengul, Gokhan | |
| dc.contributor.author | Tirkes, Guzin | |
| dc.contributor.author | Ekin, Cansu | |
| dc.contributor.author | Karakaya, Murat | |
| dc.contributor.other | Computer Engineering | |
| dc.date.accessioned | 2024-10-06T10:58:27Z | |
| dc.date.available | 2024-10-06T10:58:27Z | |
| dc.date.issued | 2018 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | [Bostan, Atila; Sengul, Gokhan; Tirkes, Guzin; Ekin, Cansu; Karakaya, Murat] Atilim Univ, Dept Comp Engn, Ankara, Turkey | en_US |
| dc.description | Bostan, Atila/0000-0002-8540-7605; Turkmen, Guzin/0000-0003-0884-4876; Ekin, Cansu Cigdem/0000-0003-4838-9708 | en_US |
| dc.description.abstract | Academic 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.woscitationindex | Conference Proceedings Citation Index - Science | |
| dc.identifier.citationcount | 0 | |
| dc.identifier.endpage | 470 | en_US |
| dc.identifier.isbn | 9781538678930 | |
| dc.identifier.startpage | 467 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/8907 | |
| dc.identifier.wos | WOS:000459847400090 | |
| dc.institutionauthor | Bostan, Atila | |
| dc.institutionauthor | Şengül, Gökhan | |
| dc.institutionauthor | Türkmen, Güzin | |
| dc.institutionauthor | Ekin, Cansu Çiğdem | |
| dc.institutionauthor | Karakaya, Kasım Murat | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | DL | en_US |
| dc.subject | ML | en_US |
| dc.subject | Image Processing | en_US |
| dc.subject | Convolutional Neural Networks | en_US |
| dc.subject | Current Trends | en_US |
| dc.title | Deep Learning and Current Trends in Machine Learning | en_US |
| dc.type | Conference Object | en_US |
| dc.wos.citedbyCount | 0 | |
| dspace.entity.type | Publication | |
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