Zobrazeno 1 - 10
of 52
pro vyhledávání: '"C. Okan Sakar"'
Autor:
Ozan Veranyurt, C. Okan Sakar
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
2022 7th International Conference on Computer Science and Engineering (UBMK).
Publikováno v:
Technological Forecasting and Social Change. 191:122520
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182428 (2017)
The recently proposed Parkinson's Disease (PD) telediagnosis systems based on detecting dysphonia achieve very high classification rates in discriminating healthy subjects from PD patients. However, in these studies the data used to construct the cla
Externí odkaz:
https://doaj.org/article/048225789976457382ac4cf739d8e95e
Autor:
S. Nazmi Diker, C. Okan Sakar
Publikováno v:
Knowledge-Based Systems. 266:110416
Autor:
Adnan Gumus, C. Okan Sakar
Publikováno v:
International Journal of Advances in Engineering and Pure Sciences. 33:18-27
Predicting the stock market instrument price is a valuable but challenging machine learning task. Researchers use advanced techniques to improve the generalization ability of stock prediction models. However, considering that the stock market highly
Autor:
Burak Aytan, C. Okan Sakar
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Autor:
Necip Gozuacik, Gorkem Serbes, Eyup Kara, Eren Atas, C. Okan Sakar, H. Murat Yener, Sermin Borekci, Bora Korkmazer, Ridvan Karaali, Halide Kara, Zuleyha Gulmez, Talha Cogen, Ahmet Atas
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Autor:
Hasan Avci C. Okan Sakar
Publikováno v:
SIU
In recent years, machine learning approaches are replacing traditional methods in many industries. In parallel with these developments, marketing operations in banking started to be supported with machine learning based applications. In this study, a