| Medikal Endüstri 4.0 ile Tıbbi Cihaz Sektörü Medical Devices Sector in Medical Industry 4.0 E Sayılgan, Y İşler TIP TEKNOLOJİLERİ KONGRESİ, 368-371, 2017 | 8* | 2017 |
| Use of clustering algorithms and extreme learning machine in determining arrhythmia types E Sayilgan, ÖK Cura, Y İşler 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 7 | 2017 |
| Medical devices sector in medical industry 4.0 E Sayilgan, Y İşler 2017 Medical Technologies National Congress (TIPTEKNO), 1-4, 2017 | 6 | 2017 |
| Prediction of Evoking Frequency from Steady-State Visual Evoked Frequency E Sayilgan, YK Yuce, I Yalcin Natural and Engineering Sciences 4 (3), 91-99, 2019 | 5 | 2019 |
| Determining Gaze Information from Steady-State Visually-Evoked Potentials E Sayılgan, YK Yüce, Y İşler Karaelmas Science and Engineering Journal 10 (2), 151-157, 2020 | 4 | 2020 |
| Can Music Classification be an Alternative for Brain Computer Interface Applications? NG ÖZMEN, E DURMUŞ, Z SADREDDİNİ Uludağ University Journal of The Faculty of Engineering 22 (2), 11-22, 2017 | 4* | 2017 |
| Beyin Bilgisayar Arayüzü Sistemleri İçin Uygun Öznitelik ve Sınıflandırıcı Seçimi E Durmuş, Z Sadreddini, N Gürsel Özmen Otomatik Kontrol Ulusal Toplantısı (TOK), 651-656, 2014 | 4 | 2014 |
| EEG verilerinden farklı müzik türü ve zihinsel görevlerin ayırt edilmesi Z Sadreddini, E Durmuş, NG Özmen Akıllı sistemlerde Yenilik ve Uygulamaları, ASYU, 9-10, 2014 | 3 | 2014 |
| Classification of Hand Movements from EEG Signals using Machine Learning Techniques E Sayilgan, Y Kemal, YY Isler 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2019 | 1 | 2019 |
| Evaluation of wavelet features selected via statistical evidence from steady-state visuallyevoked potentials to predict the stimulating frequency E Sayılgan, YK Yüce, Y İşler Journal of the Faculty of Engineering and Architecture of Gazi University 36 …, 2021 | | 2021 |
| Durağan Durum Görsel Uyaran Potansiyellerinden Fourier Dönüşümü ile Üç Farklı Frekansın Kestirimi - Estimation of Three Distinct Frequencies Using Fourier Transform of Steady … E Sayılgan, YK Yüce, Y İşler Düzce Üniversitesi Bilim ve Teknoloji Dergisi 8 (4), 2337-2343, 2020 | | 2020 |
| Evaluating Steady-State Visually-Evoked Potentials Using Ensemble Learning Methods E Sayılgan Department of Biomedical Technologies, The Graduate School of Natural and …, 2020 | | 2020 |
| Determining Seven Different Brain-Computer Interface Commands Using Fourier Transform And Machine Learning Methods From SSVEP E Sayılgan, YK Yüce, Y İşler INTERNATIONAL CONFERENCE OF APPLIED SCIENCES, ENGINEERING AND MATHEMATICS …, 2020 | | 2020 |
| Uyartım frekansının kestiriminde istatistiksel anlamlılığa dayalı olarak seçilen durağan durum görsel uyarılmış potansiyellere ait dalgacık özniteliklerinin değerlendirilmesi E SAYILGAN, YK YÜCE, Y İşler Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 36 (2), 593-606, 2020 | | 2020 |
| Feature Extraction of ECG Signals using NI LabVIEW Biomedical Workbench and Classification with Artificial Neural Network E Sayilgan, S Sahin Journal of Intelligent Systems with Applications 2 (1), 34-38, 2019 | | 2019 |
| Arrhythmia Classification Using Fuzzy C-Means Clustering Ö Karabiber Cura, E Sayılgan, Y İşler IBU- ICASEM 2017 International Conference of Applied Sciences, Engineering …, 2017 | | 2017 |
| Selection of proper electrodes and improving performance in brain computer interfaces E Durmuş, NG Özmen 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | | 2015 |
| Aritmi Türlerinin Tespit Edilmesinde Kümeleme Algoritmaları ve Aşırı Öğrenme Makinesi Kullanımı Use of Clustering Algorithms and Extreme Learning Machine in Determining … E SAYILGAN, ÖK CURA, Y İŞLER | | |
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