Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Kursun, Olcay"'
Deep Convolutional Neural Networks (CNNs), trained extensively on very large labeled datasets, learn to recognize inferentially powerful features in their input patterns and represent efficiently their objective content. Such objectivity of their int
Externí odkaz:
http://arxiv.org/abs/2103.01566
Publikováno v:
Remote Sensing; Sep2024, Vol. 16 Issue 17, p3315, 19p
Publikováno v:
Military Medicine. Mar/Apr2023, Vol. 188 Issue 3/4, pe637-e645. 9p.
Publikováno v:
In Computers in Biology and Medicine 1 September 2015 64:261-267
Autor:
Homan, Philip J., Favorov, Oleg V., Lavender, Christopher A., Kursun, Olcay, Ge, Xiyuan, Busan, Steven, Dokholyan, Nikolay V., Weeks, Kevin M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2014 Sep . 111(38), 13858-13863.
Externí odkaz:
https://www.jstor.org/stable/43043222
Publikováno v:
In Computational Biology and Chemistry April 2013 43:23-28
Publikováno v:
In Expert Systems With Applications 15 February 2012 39(3):3432-3437
Autor:
Okan Sakar, C., Kursun, Olcay
Publikováno v:
In Expert Systems With Applications 15 February 2012 39(3):3333-3344
Autor:
Kursun, Olcay
Publikováno v:
Electronic Theses and Dissertations.
Modern science is turning to progressively more complex and data-rich subjects, which challenges the existing methods of data analysis and interpretation. Consequently, there is a pressing need for development of ever more powerful methods of extract
Akademický článek
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