Arş. Gör. EKİN CAN ERKUŞ

Yayın Ağı

Makaleler 3

1. Outlier detection and quasi-periodicity optimization algorithm: Frequency domain based outlier detection (FOD)

Erkuş E. C., Purutcuoglu V.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , cilt.291, sa.2, ss.560-574, 2021 (SCI-Expanded, Scopus)

2. Detection of abnormalities in heart rate using multiple Fourier transforms

Erkuş E. C., Purutcuoglu V., Purutcuoglu E.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY , cilt.16, ss.5237-5242, 2019 (SCI-Expanded, Scopus)

3. A comparative stationarity analysis of EEG signals

RASOULZADEH V., ERKUŞ E. C., YOĞURT T. A., ULUSOY İ., Zergeroglu S. A.

ANNALS OF OPERATIONS RESEARCH , cilt.258, sa.1, ss.133-157, 2017 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 13

1. A new frequency domain and dynamic time warping based feature: WFOD feature

ERKUŞ E. C., PURUTÇUOĞLU V.

2nd International Conference on Advanced Information Scientific Development: Innovating Scientific Learning for Deep Communication, ICAISD 2021, Jakarta, Endonezya, 5 - 06 Ağustos 2021, cilt.2714, (Tam Metin Bildiri)

2. Comparison of several machine learning classifiers for arousal classification: A preliminary study

Erkuş E. C., Purutçuoğlu Gazi V., Arı F., Gökçay D.

Medical Technologies Congress (TIPTEKNO 2020), İstanbul, Türkiye, 19 - 20 Kasım 2020, ss.161-167, (Tam Metin Bildiri)

3. Dinamik Zaman Işınlaması (DTW) Yönteminin Motor Görev fNIRS Verileri Sınıflandırılmasında Özellik Olarak Kullanımının Etkisi

Erkuş E. C., Purutçuoğlu Gazi V.

18. Ulusal Sinirbilim Kongresi, Ankara, Türkiye, 6 - 09 Kasım 2020, ss.207, (Özet Bildiri)

4. Feature Extraction of Hidden Oscillation in ECG Data via Multiple-FOD Method

Erkuş E. C., Purutçuoğlu Gazi V.

nternational Conference on Artificial Intelligence and Applied Mathematics in Engineering, Antalya, Türkiye, 20 - 22 Nisan 2019, cilt.43, ss.47-56, (Tam Metin Bildiri)

5. Preliminary Results in Evaluating the Pleasantness of an Interviewing Candidate Based on Psychophysiological Signals

ARI F., AVENOĞLU B., İLERİ F., ERKUŞ E. C., HACIHABİBOĞLU H.

eNTERFACE`19The15th International Summer Workshop on Multimodal Interfaces, Ankara, Türkiye, 8 Temmuz - 02 Ağustos 2019, (Tam Metin Bildiri)

6. Description of Turkish Construction Sector via İstanbul Turkish Stock Market Data

PURUTÇUOĞLU GAZİ V., ERKUŞ E. C.

5th International Conferenceon Natural and Engineering Sciences, 27 - 30 Ağustos 2019, (Tam Metin Bildiri)

7. Description of Turkish Construction Sector via İstanbul Stock Market Data

Erkuş E. C., Purutçuoğlu Gazi V.

5th International Conference on Natural and Engineering Sciences, İstanbul, Türkiye, 27 - 30 Ağustos 2019, ss.18-23, (Tam Metin Bildiri)

8. Detection of hidden patterns in time series data via multiple-time FOD method

Erkuş E. C., Purutçuoğlu Gazi V.

30th European Conference on Operational Research (EURO 2019), Dublin, İrlanda, 23 - 26 Haziran 2019, ss.76, (Özet Bildiri)

9. Calculation of optimal number of Monte Carlo runs for normally distributed datasets

Erkuş E. C., Purutçuoğlu Gazi V.

International Conference on Applied Analysis and Mathematical Modeling, İstanbul, Türkiye, 10 - 12 Mart 2019, ss.1-5, (Tam Metin Bildiri)

10. Detection of Abnormalities in Heart Rate Using Multiple Fourier Transforms

Erkuş E. C., Purutçuoğlu Gazi V.

5th International Conference on Computational and Experimental Science and Engineering, Antalya, Türkiye, 12 Ekim 2018, ss.1, (Özet Bildiri)

11. Two-stage outlier detection algorithm based on Fourier transform: Real data applications

Erkuş E. C., Purutçuoğlu Gazi V.

International Conference on Inno- vative Engineering Applications, Sivas, Türkiye, 20 Eylül 2018, ss.30-37, (Tam Metin Bildiri)

12. Outlier detection methods for time series datasets

Erkuş E. C., Purutçuoğlu Gazi V.

4th International Researchers, Statisticians and Young Statisticians Congress, İzmir, Türkiye, 28 - 30 Nisan 2018, ss.69, (Özet Bildiri)

13. The Interpretation of the Effective Connectivity Maps Obtained by Using Dynamic Bayesian Networks on EEG Data

ERKUŞ E. C., ULUSOY İ.

20th National Biomedical Engineering Meeting (BIYOMUT), İzmir, Türkiye, 3 - 05 Kasım 2016, (Tam Metin Bildiri)

Metrikler

Arş. Gör. EKİN CAN ERKUŞ

Yayınlar & Eserler

1. Outlier detection and quasi-periodicity optimization algorithm: Frequency domain based outlier detection (FOD)

2. Detection of abnormalities in heart rate using multiple Fourier transforms

3. A comparative stationarity analysis of EEG signals

1. A new frequency domain and dynamic time warping based feature: WFOD feature

2. Comparison of several machine learning classifiers for arousal classification: A preliminary study

3. Dinamik Zaman Işınlaması (DTW) Yönteminin Motor Görev fNIRS Verileri Sınıflandırılmasında Özellik Olarak Kullanımının Etkisi

4. Feature Extraction of Hidden Oscillation in ECG Data via Multiple-FOD Method

5. Preliminary Results in Evaluating the Pleasantness of an Interviewing Candidate Based on Psychophysiological Signals

6. Description of Turkish Construction Sector via İstanbul Turkish Stock Market Data

7. Description of Turkish Construction Sector via İstanbul Stock Market Data

8. Detection of hidden patterns in time series data via multiple-time FOD method

9. Calculation of optimal number of Monte Carlo runs for normally distributed datasets

10. Detection of Abnormalities in Heart Rate Using Multiple Fourier Transforms

11. Two-stage outlier detection algorithm based on Fourier transform: Real data applications

12. Outlier detection methods for time series datasets

13. The Interpretation of the Effective Connectivity Maps Obtained by Using Dynamic Bayesian Networks on EEG Data

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