Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Doyran, Metehan"'
Autor:
Halfon, Sibel1 (AUTHOR) sibel.halfon@bilgi.edu.tr, Doyran, Metehan2 (AUTHOR), Türkmen, Batıkan3 (AUTHOR), Oktay, Eda Aydın4 (AUTHOR), Salah, Ali Albert2,3 (AUTHOR)
Publikováno v:
Psychotherapy Research. Mar2021, Vol. 31 Issue 3, p402-417. 16p.
Autor:
Doyran, Metehan, Salah, Albert, Poppe, Ronald, Hessels, Roy, Endendijk, Joyce, Lu, Hui, Li, Peitong
We would like to start with a disclaimer. Our main analysis approach is not based on statistical analysis, but on machine learning. The interpretation of results in machine learning is accordingly different and more conservative, compared to statisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f1a8840f3200a2c2f22c90e5adfd287
Autor:
Doyran, Metehan, Schimmel, Arjan, Baki, Pınar, Ergin, Kübra, Türkmen, Batıkan, Akdag, Almila, Bakkes, Sander, Kaya, Heysem, Poppe, Ronald, Salah, Albert, Sub Multimedia, Sub Human-Centered Computing, Sub Social and Affective Computing, Multimedia
Publikováno v:
Journal on Multimodal User Interfaces, 15(4). Springer Verlag
Journal on Multimodal User Interfaces, 15(4)
Journal on Multimodal User Interfaces, 15(4)
Board games are fertile grounds for the display of social signals, and they provide insights into psychological indicators in multi-person interactions. In this work, we introduce a new dataset collected from four-player board game sessions, recorded
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c604c0c6b82c9b58fe019dff838a126
https://dspace.library.uu.nl/handle/1874/411513
https://dspace.library.uu.nl/handle/1874/411513
Akademický článek
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Board games have become promising tools for observing and studying social behaviors in multi-person settings. While traditional methods such as self-report questionnaires are used to analyze game-induced behaviors, there is a growing need to automate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::fc7ae718870707879fb1dbf2c437eb25
https://dspace.library.uu.nl/handle/1874/427760
https://dspace.library.uu.nl/handle/1874/427760
Autor:
Olalere, Feyisayo, Brouwers, Vincent, Doyran, Metehan, Poppe, Ronald, Salah, Albert, Sub Social and Affective Computing, Social and Affective Computing
Publikováno v:
2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1563. IEEE
STARTPAGE=1563;TITLE=2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
STARTPAGE=1563;TITLE=2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Large-scale action recognition datasets contain more instances of adults than children, and models trained with these datasets may not perform well for children. In this study, we test if current state-of-the-art deep learning models have some system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::c2f71c0200ebbda55272627180a7a522
https://dspace.library.uu.nl/handle/1874/427759
https://dspace.library.uu.nl/handle/1874/427759
Autor:
Crijns, Tanja, Doyran, Metehan, van der Goes, Maurits, Herrera, Cecilia, Kaya, Heysem, Kayhan, Osman Semih, Klein, Rana, Koops, Vincent, Laugs, Cas, Odijk, Daan
Automatic analysis of video archives is a topic long-researched in multimedia. In this work, conducted with RTL Netherlands, we investigated methods for developing an integrated tool for analysis and visualization of the storyline in a TV series by c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::df0e6b6b9d44e85d100e9843631f103c
https://dspace.library.uu.nl/handle/1874/414828
https://dspace.library.uu.nl/handle/1874/414828
Autor:
Molenaar, Sabine, Schiphorst, Laura, Doyran, Metehan, Salah, Albert Ali, Dalpiaz, Fabiano, Brinkkemper, Sjaak, Nurcan, Selmin, Reinhartz-Berger, Iris, Soffer, Pnina, Zdravkovic, Jelena
Advances in human action recognition and interaction recognition enable the reliable execution of action classification tasks through machine learning algorithms. However, no systematic approach for developing such classifiers exists and since action
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::555875e5d38fb6aad62c423134c2ee90
https://dspace.library.uu.nl/handle/1874/414623
https://dspace.library.uu.nl/handle/1874/414623
Publikováno v:
Digital Scholarship in the Humanities; 2021 Supplement, Vol. 36, pii2-ii8, 7p
Autor:
Doyran, Metehan
Biz, normal fotoğrafın yanısıra derinlik bilgisi de veren (RGB-D) kameraya sahip evde çalışacak robotlar için bir görsel anlama sistemi oluşturduk. Bu sistem üç temel kısımdan oluşuyor; (i) RGB-D bilgisiyle nesne tanıma ağı (ii) bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::a034d59ede9755df1785340af7e64af2
https://acikbilim.yok.gov.tr/handle/20.500.12812/72533
https://acikbilim.yok.gov.tr/handle/20.500.12812/72533