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pro vyhledávání: '"Şen, Mehmet Umut"'
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:
Ali Ahmed, Sara Atito, Yavuz, Mehmet Can, Şen, Mehmet Umut, Gülşen, Fatih, Tutar, Onur, Korkmazer, Bora, Samancı, Cesur, Şirolu, Sabri, Hamid, Rauf, Eryürekli, Ali Ergun, Mammadov, Toghrul, Yanikoglu, Berrin
Publikováno v:
In Neurocomputing 1 June 2022 488:457-469
In this paper, a novel approach for single channel source separation (SCSS) using a deep neural network (DNN) architecture is introduced. Unlike previous studies in which DNN and other classifiers were used for classifying time-frequency bins to obta
Externí odkaz:
http://arxiv.org/abs/1311.2746
Autor:
Sen, Mehmet Umut, Erdogan, Hakan
The main principle of stacked generalization (or Stacking) is using a second-level generalizer to combine the outputs of base classifiers in an ensemble. In this paper, we investigate different combination types under the stacking framework; namely w
Externí odkaz:
http://arxiv.org/abs/1106.1684
Akademický článek
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Autor:
Şen, Mehmet Umut
Hearings of witnesses and defendants play a crucial role when reaching court trial decisions. Given the high-stakes nature of trial outcomes, developing computational models that assist the decision-making process is an important research venue. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1246::b76214716364e09ce075b925fc94c32b
Autor:
Şen, Mehmet Umut, Yanıkoğlu, Berrin
Word embeddings are successfully employed in various Natural Language Processing tasks, but training them requires large amount of text, which is scarce for Turkish. In this work, we collected large amounts of articles from two news websites and tags
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1246::0060d903a867119a0ae1995b7b3317af
Autor:
Şen, Mehmet Umut, Erdogˇan, Hakan
Publikováno v:
In Pattern Recognition Letters 1 February 2013 34(3):265-274
Autor:
Şen, Mehmet Umut
Çoklu sınıflandırıcı sistemlerinin, çok sınıflı sınıflandırma problemlerinde karmaşık fakat doğruluk oranı yüksek bir sınıflandırma yöntemi olduğu, örüntü tanıma literatüründe sıkça işlenmiştr. Sınıflandırıcı bir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e3c821d440cfba748e65634b65b0c107
https://acikbilim.yok.gov.tr/handle/20.500.12812/217101
https://acikbilim.yok.gov.tr/handle/20.500.12812/217101