| Stroke subtype clustering by multifractal bayesian denoising with fuzzy means and-means algorithms Y Karaca, C Cattani, M Moonis, Ş Bayrak Complexity 2018, 2018 | 20 | 2018 |
| Comparison machine learning algorithms for recognition of epileptic seizures in EEG B Karlık, ŞB Hayta Proceedings IWBBIO 2014, 1-12, 2014 | 18 | 2014 |
| The significance of artificial neural networks algorithms classification in the multiple sclerosis and its subgroups Y Karaca, Ş Hayta Significance 2 (12), 1-7, 2015 | 8 | 2015 |
| Application and comparison of ANN and SVM for diagnostic classification for cognitive functioning Y Karaca, Ş Hayta Appl. Math. Sci 10 (64), 3187-3199, 2016 | 5 | 2016 |
| Language Identification Based On N-Gram Feature Extraction Method By Using Classifiers ŞB HAYTA, Ş Hayta, H Takçı, M Eminli IU-Journal of Electrical & Electronics Engineering 13 (2), 1629-1639, 2013 | 5 | 2013 |
| Makine Öğrenme Yôntemleriyle N-Gram Tabanlı Dil Tanıma Ş Bayrak, H Takçı, M Eminli Elektrik-Elektronik ve Bilgisayar Mùhendisliği Sempozyumu, ELECO, 2012 | 4 | 2012 |
| Classification of Extracranial and Intracranial EEG Signals by using Finite Impulse Response Filter through Ensemble Learning Ş Bayrak, E Yücel, H Takçi 2019 27th Signal Processing and Communications Applications Conference (SIU …, 2019 | 3 | 2019 |
| The classification of Turkish economic growth by artificial neural network algorithms Y Karaca, Ş Bayrak, EF Yetkin International Conference on Computational Science and Its Applications, 115-126, 2017 | 3 | 2017 |
| Classification of Erythematous-Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient Y Karaca, A Sertbaş, Ş Bayrak International Conference on Computational Science and Its Applications, 107-120, 2018 | 2 | 2018 |
| Classification of Epileptic Electroencephalograms Using Time-Frequency and Back Propagation Methods S Bayrak, E Yucel, T Hidayet, S Ruya CMC-Computers, Materials & Continua 69 (2), 1427-1446, 2021 | 1 | 2021 |
| C-Support Vector Classification the Estimation of the MS Subgroups Classification with Selected Kernels and Parameters Y Karaca, Å Hayta, R Karabudak European Journal of Pure and Applied Mathematics 9 (2), 196-215, 2016 | 1 | 2016 |
| Epilepsy Radiology Reports Classification Using Deep Learning Networks S Bayrak, E Yucel, T Hidayet CMC-Computers, Materials & Continua 70 (2), 3589–3607, 2022 | | 2022 |
| Classification of epileptic eeg signals based on finite impulse response filter and artificial neural networks training algorithms Ş Bayrak, EY DEMİREL, R ŞAMLI Uludağ University Journal of The Faculty of Engineering 25 (3), 1431-1444, 2020 | | 2020 |
| Trigram özellik veri seti kullanılarak sınıflandırma yöntemleriyle dil tanıma Ş Bayrak Fen Bilimleri Enstitüsü, 2011 | | 2011 |
| Suç Veri Madenciliği Yardımıyla Hırsızlık Suçları Hakkında Kural Çıkarımı Rule Extraction for Theft Crimes by the Help of Crime Data Mining H Takçı, Ş Hayta | | |
| Makine Öğrenme Yöntemleriyle N-Gram Tabanlı Dil Tanıma N-Gram Based Language Identification with Machine Learning Methods Ş Bayrak, H Takçı, M Eminli | | |
| Comparison Feature Extraction and Neural Net-works Algorithms for Epileptic Seizure Detection S Bayrak, B Karlık, FD Yagmur | | |
Hidayet TakcıSivas Cumhuriyet ÜniversitesiVerified email at cumhuriyet.edu.tr
