Zobrazeno 1 - 10
of 776
pro vyhledávání: '"Yanikoglu, A."'
Autor:
Aktemur, Ege, Zorlutuna, Ege, Bilgili, Kaan, Bok, Tacettin Emre, Yanikoglu, Berrin, Mutluergil, Suha Orhun
We introduce a new approach in distributed deep learning, utilizing Geoffrey Hinton's Forward-Forward (FF) algorithm to speed up the training of neural networks in distributed computing environments. Unlike traditional methods that rely on forward an
Externí odkaz:
http://arxiv.org/abs/2404.08573
Autor:
Yavuz, Mehmet Can, Yanikoglu, Berrin
Learning a discriminative semantic space using unlabelled and noisy data remains unaddressed in a multi-label setting. We present a contrastive self-supervised learning method which is robust to data noise, grounded in the domain of variational metho
Externí odkaz:
http://arxiv.org/abs/2312.00824
Autor:
Kizilirmak, Firat, Yanikoglu, Berrin
We present a CNN-BiLSTM system for the problem of offline English handwriting recognition, with extensive evaluations on the public IAM dataset, including the effects of model size, data augmentation and the lexicon. Our best model achieves 3.59\% CE
Externí odkaz:
http://arxiv.org/abs/2307.00664
Autor:
Ebru Erol, Kubra Feyza Erol, Rabia Sare Yanikoglu, Cem Taskin, Cagla Kizilarslan Hancer, Gulacti Topcu
Publikováno v:
ACS Omega, Vol 9, Iss 40, Pp 41890-41903 (2024)
Externí odkaz:
https://doaj.org/article/44c1f7c9c0094f6788a78135914736a8
Autor:
Nowroozi, Ehsan, Mekdad, Yassine, Conti, Mauro, Milani, Simone, Uluagac, Selcuk, Yanikoglu, Berrin
Recently, the popularity and wide use of the last-generation video conferencing technologies created an exponential growth in its market size. Such technology allows participants in different geographic regions to have a virtual face-to-face meeting.
Externí odkaz:
http://arxiv.org/abs/2204.11853
Publikováno v:
In Energy & Buildings 1 December 2024 324
Autor:
Ahmed, Sara Atito Ali, Yavuz, Mehmet Can, Sen, Mehmet Umut, Gulsen, Fatih, Tutar, Onur, Korkmazer, Bora, Samanci, Cesur, Sirolu, Sabri, Hamid, Rauf, Eryurekli, Ali Ergun, Mammadov, Toghrul, Yanikoglu, Berrin
Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and volume-based (3
Externí odkaz:
http://arxiv.org/abs/2105.08506
Autor:
Yanikoglu, Reyhan1 (AUTHOR) reyhanyanikoglu@gmail.com, Karakas, Canan Yagmur2 (AUTHOR), Ciftci, Fatih3 (AUTHOR), Insel, Mert Akın4 (AUTHOR), Karavelioglu, Zeynep1,5 (AUTHOR), Varol, Rahmetullah6,7 (AUTHOR), Yilmaz, Abdurrahim6 (AUTHOR), Cakir, Rabia1,8 (AUTHOR), Uvet, Hüseyin6 (AUTHOR), Ustundag, Cem Bulent1,9 (AUTHOR)
Publikováno v:
Pharmaceutics. Jun2024, Vol. 16 Issue 6, p837. 16p.
Autor:
Aysenur Gunaydin-Akyildiz, Rabia Sare Yanikoglu, Meltem Gulec, Gulbahar Ozge Alim-Toraman, Ebru Didem Kuran, Sezen Atasoy, Abdullah Olgun, Gulacti Topcu
Publikováno v:
BMC Molecular and Cell Biology, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background Emodin and aloe-emodin are two anthraquinones having positive effects in wound healing. However, their mechanism of action of wound healing is not fully understood. The MAP kinase family, which plays an active role in wound healin
Externí odkaz:
https://doaj.org/article/bcfa032b0f19415a93ab19066a82deb8
Autor:
Huseyin Cetin, Atila Yanikoglu, Esin Akarsu, Mehmet Civril, Eylul Odabas, Samed Koc, Emre Oz, Burak Polat
Publikováno v:
Journal of Arthropod-Borne Diseases, Vol 17, Iss 3 (2024)
Background: The house fly, Musca domestica, is vector for pathogens and parasites and causes economic damage to livestock by reducing forage conversion efficiency, negatively impacting weight gain and milk production. It has shown resistance to multi
Externí odkaz:
https://doaj.org/article/ca9d09b30c904b3284fa980efa59571f