Ekin Can Erkuş

E-mail

eerkus@metu.edu.tr

Department

Graduate School of Natural and Applied Sciences

ORCID

0000-0002-2445-5929

Scopus Author ID

57193688011

Evaluation of Data Compression Methods for Efficient Transport and Classification of Facial EMG Signals Arı, Fikret; Akan, Erhan; Aktaş Dinçer, Hayriye; Erkuş, Ekin Can; Farzin Asanjan, Mahdieh; Gökçay, Didem; İleri, Fatih; Purutçuoğlu Gazi, Vilda; Somuncuoğlu, Abdullah Nuri (CRC, New York , 2022-11-01)
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)

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