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pro vyhledávání: '"Hayri Volkan Agun"'
Autor:
Hayri Volkan Agun
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101569- (2023)
Conventional web crawling methods typically involve a sequence of distinct steps for downloading and extracting web content. A noteworthy limitation of these conventional crawling approaches is their lack of a focus-based crawling strategy. The softw
Externí odkaz:
https://doaj.org/article/148e0ad744fe452fb44a6ea9a400fd17
Publikováno v:
IEEE Access, Vol 8, Pp 208910-208921 (2020)
Web pages contain irrelevant images along with relevant images. The classification of these images is an error-prone process due to the number of design variations of web pages. Using multiple web pages provides additional features that improve the p
Externí odkaz:
https://doaj.org/article/a09a91c1a1ef41f69308c9f8260519c9
Autor:
Hayri Volkan Agun, Ozgur Yilmazel
Publikováno v:
IEEE Access, Vol 7, Pp 98522-98529 (2019)
Authorship attribution (AA) is a stylometric analysis task of finding the author of an anonymous/disputed text document. In AA, the performance improvement of class-based feature selection schemas, such as Chi-square, and Gini index over frequency-ba
Externí odkaz:
https://doaj.org/article/d25b4a32509c48bb86db891b110b0829
Autor:
Hayri Volkan AGUN
Publikováno v:
Bilişim Teknolojileri Dergisi. 16:33-42
Current state of art approaches such as the susceptible-infected-removed model and machine learning models are not optimized for modeling the risks of individuals and modeling the effects of local restrictions. To improve the drawback of these approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11dfdcfcbbcd4eaedf847e7631a840be
https://doi.org/10.17671/gazibtd.1135014
https://doi.org/10.17671/gazibtd.1135014
Autor:
Hayri Volkan Agun, Erdinç Uzun
Publikováno v:
Applied Soft Computing. 135:110030
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4144de83cdf78bdced61517ba6b5c6e9
https://doi.org/10.1016/j.asoc.2023.110030
https://doi.org/10.1016/j.asoc.2023.110030
Autor:
Hayri Volkan Agun, Ozgur Yilmazel
Publikováno v:
Journal of Information Science. 46:683-695
WOS: 000476683200001
Domain, genre and topic influences on author style adversely affect the performance of authorship attribution (AA) in multi-genre and multi-domain data sets. Although recent approaches to AA tasks focus on suggesting new fea
Domain, genre and topic influences on author style adversely affect the performance of authorship attribution (AA) in multi-genre and multi-domain data sets. Although recent approaches to AA tasks focus on suggesting new fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd893df9660a5e4f1205b631fed2c4bb
https://doi.org/10.1177/0165551519863350
https://doi.org/10.1177/0165551519863350
Autor:
Hayri Volkan Agun, Ozgur Yilmazel
Publikováno v:
Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control.
Word embeddings are evaluated through intrinsic and extrinsic tests. Similarity and analogy test are mainly preferred for intrinsic evaluation and natural language processing tasks such as named entity recognition and question answering are prefferre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca98bfe11fa56115c023c9ecd9d71bc
https://doi.org/10.1145/3440084.3441184
https://doi.org/10.1145/3440084.3441184
Autor:
Hayri Volkan Agun, Ozgur Yilmazel
Publikováno v:
2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA).
Authorship attribution has been well studied in terms of text classification with many diverse feature sets. However, finding topic independent features is hard and trained models with hand crafted features in one domain may not work in another domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88f2e03397143a249da79c6d4061cf2e
https://doi.org/10.1109/ickea.2017.8169928
https://doi.org/10.1109/ickea.2017.8169928
Publikováno v:
Information Processing & Management. 49:928-944
Eliminating noisy information and extracting informative content have become important issues for web mining, search and accessibility. This extraction process can employ automatic techniques and hand-crafted rules. Automatic extraction techniques fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d902666b1ddc263fe6641543b6ef1fdf
https://doi.org/10.1016/j.ipm.2013.02.005
https://doi.org/10.1016/j.ipm.2013.02.005
Publikováno v:
Software: Practice and Experience. 44:1181-1199
Classical Web crawlers make use of only hyperlink information in the crawling process. However, focused crawlers are intended to download only Web pages that are relevant to a given topic by utilizing word information before downloading the Web page.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a499dc8320153350845dd0e54a2bba2
https://doi.org/10.1002/spe.2195
https://doi.org/10.1002/spe.2195