| 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 | 32 | 2021 |
| Evaluation of mother wavelets on steady-state visually-evoked potentials fortriple-command brain-computer interfaces E Sayilgan, YK Yüce, Y İŞLER Turkish Journal of Electrical Engineering and Computer Sciences 29 (5), 2263 …, 2021 | 22 | 2021 |
| 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 | 22 | 2020 |
| 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 | 18 | 2019 |
| Frequency Recognition from Temporal and Frequency Depth of the Brain-Computer Interface based on Steady-State Visual Evoked Potentials E Sayilgan, YK Yuce, Y Isler Journal of Intelligent Systems with Applications 4 (1), 68-73, 2021 | 15 | 2021 |
| 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 | 15 | 2017 |
| Medical devices sector in medical industry 4.0 E Sayilgan, Y İşler 2017 Medical Technologies National Congress (TIPTEKNO), 1-4, 2017 | 14 | 2017 |
| Evaluation of Wigner-Ville Distribution Features to Estimate Steady-State Visual Evoked Potentials' Stimulation Frequency M Degirmenci, E Sayilgan, Y Isler Journal of Intelligent Systems with Applications 4 (2), 133-136, 2021 | 13 | 2021 |
| 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 | 13* | 2017 |
| Investigating the effect of flickering frequency pair and mother wavelet selection in Steady-State Visually-Evoked Potentials on two-command brain-computer interfaces E Sayilgan, YK Yuce, Y Isler Irbm 43 (6), 594-603, 2022 | 12 | 2022 |
| 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 | 10* | 2017 |
| Estimation of three distinct commands using Fourier transform of steady-state visual-evoked potentials E Sayilgan, YK Yuce, Y Isler Duzce Universitesi Bilim ve Teknoloji Dergisi 8 (4), 2337-2343, 2020 | 9 | 2020 |
| Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials B Yesilkaya, E Sayilgan, YK Yuce, M Perc, Y Isler Journal of Computational Science 68, 102000, 2023 | 7 | 2023 |
| 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 | 7 | 2014 |
| Evaluating Steady-State Visually Evoked Potentials-Based Brain-Computer Interface System Using Wavelet Features and Various Machine Learning Methods E Sayilgan, YK Yuce, Y Isler Brain Computer Interface, 2021 | 6 | 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 | 6 | 2020 |
| EEG işaretlerinden bilişsel görevlerin ve müzik dinleme görevlerinin analizi E Durmuş Fen Bilimleri Enstitüsü, 2015 | 4 | 2015 |
| 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 | 4 | 2014 |
| Effective SSVEP Frequency Pair Selection over the GoogLeNet Deep Convolutional Neural Network MB Avci, E Sayilgan 2022 Medical Technologies Congress (TIPTEKNO), 10.1109/TIPTEKNO56568.2022 …, 2022 | 3 | 2022 |
| 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 | 3 | 2020 |
Yalcin IslerIzmir Katip Celebi UniversityVerified email at ikc.edu.tr
