Zobrazeno 1 - 5
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pro vyhledávání: '"Yilmaz, Seyhmus"'
Autor:
Zavrak, Sultan, Yilmaz, Seyhmus
This paper presents a novel approach to accurately classify the hallmarks of cancer, which is a crucial task in cancer research. Our proposed method utilizes the Bidirectional Encoder Representations from Transformers (BERT) architecture, which has s
Externí odkaz:
http://arxiv.org/abs/2305.03501
Autor:
Yilmaz, Seyhmus, Zavrak, Sultan
In this study, we aimed to address the growing concern of trolling behavior on social media by developing and evaluating a set of model architectures for the automatic detection of troll tweets. Utilizing deep learning techniques and pre-trained word
Externí odkaz:
http://arxiv.org/abs/2207.08230
Autor:
Zavrak, Sultan, Yilmaz, Seyhmus
Email is one of the most widely used ways to communicate, with millions of people and businesses relying on it to communicate and share knowledge and information on a daily basis. Nevertheless, the rise in email users has occurred a dramatic increase
Externí odkaz:
http://arxiv.org/abs/2204.07390
Autor:
Zavrak, Sultan, Yilmaz, Seyhmus
Publikováno v:
In Expert Systems With Applications 15 December 2023 233
Autor:
Yilmaz, Seyhmus1 (AUTHOR) seyhmusyilmaz@duzce.edu.tr, Toklu, Sinan1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Apr2020, Vol. 32 Issue 7, p2909-2928. 20p.