| Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP O Kocadagli, E Ozer, AG Batista Expert Systems with Applications 212, 118825, 2023 | 9 | 2023 |
| Classification of EEG Signals for Epileptic Seizures Using Linear and Non-linear Classifiers Based Wavelet Transforms and Information Criteria E Ozer, O Kocadagli Turkiye Klinikleri J Biostat, 2019 | 4 | 2019 |
| Epilepsi Hastalığının dalgacık dönüşümleri ve yapay sinir ağları ile tanılanması E Özer Fen Bilimleri Enstitüsü, 2015 | 3 | 2015 |
| Important factors affecting the transmission rate of COVID-19 in G20 and EU O KOCADAĞLI, AM KÖSE, NG INAN, Ö Ezgi, AY KOCADAĞLI, E Bostanci Sigma Journal of Engineering and Natural Sciences 40 (1), 208-218, 2022 | 2 | 2022 |
| Time-Frequency Analysis of the EEG Signals: Visual Identification of Epileptic Patterns E Ozer, O Kocadagli, AG Batista y-BIS 2019: Recent Advances in Data Science and Business AnalyticsAt: Mimar …, 2019 | 2 | 2019 |
| Early Diagnosis of Epileptic Seizures over EEG Signals using Deep Learning Approach E Ozer Institute of Science and Technology, 2023 | | 2023 |
| Classification of EEG Signals for Detection of Epileptic Seizures using Artificial Neural Networks based on Wavelet Transforms and PCA E Özer, O Kocadagli 3 rd INTERNATIONAL RESEARCHERS, STATISTICIANS AND YOUNG STATISTICIANS …, 2017 | | 2017 |
| CLASSIFICATION OF EEG SIGNALS FOR DETECTION OF EPILEPTIC SEIZURES USING MULTIVARIATE LOGISTIC REGRESSION BASED ON WAVELET TRANSFORMS AND PCA E ÖZER, O KOCADAĞLI USING OF THE SOME BOUNDED INFLUENCE ESTIMATORS IN A SURVEY STUDY 2 …, 2017 | | 2017 |
