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pro vyhledávání: '"Sen, Alper"'
Deep Learning (DL) systems are key enablers for engineering intelligent applications due to their ability to solve complex tasks such as image recognition and machine translation. Nevertheless, using DL systems in safety- and security-critical applic
Externí odkaz:
http://arxiv.org/abs/2002.03433
Publikováno v:
In European Journal of Operational Research 1 November 2023 310(3):1033-1050
Testing Deep Neural Network (DNN) models has become more important than ever with the increasing usage of DNN models in safety-critical domains such as autonomous cars. The traditional approach of testing DNNs is to create a test set, which is a rand
Externí odkaz:
http://arxiv.org/abs/1911.10621
Autor:
Koroglu, Yavuz, Sen, Alper
There have been many studies on automated test generation for mobile Graphical User Interface (GUI) applications. These studies successfully demonstrate how to detect fatal exceptions and achieve high code and activity coverage with fully automated t
Externí odkaz:
http://arxiv.org/abs/1911.05403
Deep Neural Networks (DNNs) are increasingly deployed in safety-critical applications including autonomous vehicles and medical diagnostics. To reduce the residual risk for unexpected DNN behaviour and provide evidence for their trustworthy operation
Externí odkaz:
http://arxiv.org/abs/1902.05974
We consider the constrained assortment optimization problem under the mixed multinomial logit model. Even moderately sized instances of this problem are challenging to solve directly using standard mixed-integer linear optimization formulations. This
Externí odkaz:
http://arxiv.org/abs/1705.09040
Autor:
Sen, Alper1 (AUTHOR) alpersen@yildiz.edu.tr, Suleymanoglu, Baris1 (AUTHOR), Soycan, Metin1 (AUTHOR)
Publikováno v:
Journal of Spatial Science. Sep2023, Vol. 68 Issue 3, p397-414. 18p.
Publikováno v:
In European Journal of Operational Research 1 November 2021 294(3):1120-1138
Autor:
Özdamar, Kadir, Sen, Alper
Publikováno v:
In Brazilian Journal of Otorhinolaryngology July-August 2020 86(4):483-489
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