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

Robust Modeling of Global Temperature Anomalies (1850–2024) Atar, Gizem; Purutçuoğlu Gazi, Vilda; Erkuş, Ekin Can; Bursalı, Ahmet (2026-01-01) Global climate change is reflected in persistent shifts in temperature anomalies, which create challenges for detection and modeling that need to be addressed. A key methodological gap arises in the reliable analysis of lo...
Revealing Cyclic Dynamics in Electricity Consumption: A Hybrid Feature-Based Clustering Framework Karakaya, Şule Şevval; Purutçuoğlu Gazi, Vilda; Bursalı, Ahmet; Erkuş, Ekin Can (2026-01-01) The rapid growth of smart metering and sensing systems generates vast amounts of electricity consumption data that providers must analyse carefully to manage resources and costs effectively. This study presents a novel clu...
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...
Feature Extraction of Hidden Oscillation in ECG Data Via Multiple-FOD Method Erkuş, Ekin Can; Purutçuoğlu Gazi, Vilda (Springer International Publishing, 2020-01-01)
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...
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...

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