Use of clustering algorithms and extreme learning machine in determining arrhythmia types. - Ebru Sayilgan; Ozlem Karabiber Cura; Yalçin Isler (SIU, 2017)

Evaluation of mother wavelets on steady-state visually-evoked potentials for triple-command brain-computer interfaces. - Ebru Sayilgan; Yilmaz Kemal Yüce; Yalçin Isler (Turkish J. Electr. Eng. Comput. Sci., 2021)

Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials. - Bartu Yesilkaya; Ebru Sayilgan; Yilmaz Kemal Yüce; Matjaz Perc; Yalçin Isler (J. Comput. Sci., 2023)

Analysing SCI Patients' EEG Signal Using Manifold Learning Methods For Triple Command BCI Design. - Hezzal Kucukselbes; Ebru Sayilgan (INISTA, 2024)

Classifying EEG data from spinal cord injured patients using manifold learning methods for brain-computer interface-based rehabilitation. - Ebru Sayilgan (Neural Comput. Appl., 2025)