Ekin Can Erkuş

E-mail
eerkus@metu.edu.tr
Department
Graduate School of Natural and Applied Sciences
Scopus Author ID
Comparison of several machine learning classifiers for arousal classification: A preliminary study
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2020-11-19)
Dinamik Zaman Işınlaması (DTW) Yönteminin Motor Görev fNIRS Verileri Sınıflandırılmasında Özellik Olarak Kullanımının Etkisi
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2020-11-06)
Preliminary results in evaluating the pleasantness of an interviewing candidate based on psychophysiological signals
Arı, Fikret; Avenoğlu, Bilgin; İleri, Fatih; Erkuş, Ekin Can; Hacıhabiboğlu, Hüseyin (null; 2020-01-13)
Job openings are getting scarce, as the number of applicants are increasing. Evaluation of job interviews is a serious burden for the human resource departments. Automatic evaluation of candidates applying for jobs is an i...
Outlier Detection and Quasi-periodicity Optimization Algorithm: Frequency Domain Based Outlier Detection (FOD)
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2020-01-01)
Outlier detection is one of the main challenges in the pre-processing stage of data analyses. In this study, we suggest a new non-parametric outlier detection technique which is based on the frequency-domain and Fourier Tr...
Feature Extraction of Hidden Oscillation in ECG Data Via Multiple-FOD Method
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (Springer International Publishing, 2020-01-01)
Description of Turkish Construction Sector via İstanbul Turkish Stock Market Data
Purutçuoğlu Gazi, Vilda; Erkuş, Ekin Can (2019-11-30)
Feature extraction of hidden oscillation in ECG data via multiple-FOD method
Purutçuoğlu Gazi, Vilda; Erkuş, Ekin Can (null; 2019-10-30)
Fourier transform (FT) is a non-parametric method which can be used to convert the time domain data into the frequency domain and can be used to find the periodicity of oscillations in time series datasets. In order to det...
Detection of abnormalities in heart rate using multiple Fourier transforms
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2019-09-01)
Fourier transform (FT) is one of the transformation techniques to convert the time-domain signal into the frequency-domain signal. Due to its easy usage, it is applied in many engineering approaches where the data are made...
Description of Turkish Construction Sector via İstanbul Stock Market Data
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2019-08-27)
Detection of hidden patterns in time series data via multiple-time FOD method
Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (2019-06-23)
The periodicity in time series data can be detected by several frequency domains’ methods, especially, by the Fourier transform (FT). FT is a non-parametric method to convert the time domain data into the frequency domain...
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