Comparison machine learning algorithms for recognition of epileptic seizures in EEG B Karlık, ŞB Hayta Proceedings IWBBIO 2014, 1-12, 2014 | 31 | 2014 |
Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K‐Means Algorithms Y Karaca, C Cattani, M Moonis, Ş Bayrak Complexity 2018 (1), 9034647, 2018 | 27 | 2018 |
Epilepsy Radiology Reports Classification Using Deep Learning Networks S Bayrak, E Yucel, T Hidayet CMC-Computers, Materials & Continua 70 (2), 3589–3607, 2022 | 12 | 2022 |
The significance of artificial neural networks algorithms classification in the multiple sclerosis and its subgroups Y Karaca, S Hayta Significance 2 (12), 1-7, 2015 | 11 | 2015 |
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 | 8 | 2019 |
Application and comparison of ANN and SVM for diagnostic classification for cognitive functioning Y Karaca, S Hayta Appl. Math. Sci 10 (64), 3187-3199, 2016 | 8 | 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 |
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 Computational Science and Its Applications–ICCSA 2018: 18th International …, 2018 | 4 | 2018 |
The classification of Turkish economic growth by artificial neural network algorithms Y Karaca, Ş Bayrak, EF Yetkin Computational Science and Its Applications–ICCSA 2017: 17th International …, 2017 | 4 | 2017 |
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 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 | 3 | 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 |
9 Interpretation of Deep SU LIME, S Bayrak Explainable, Interpretable, and Transparent AI Systems, 137, 2024 | | 2024 |
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks S Bayrak Knowledge and Information Systems, 1-21, 2024 | | 2024 |
Detection of Hate Speech in Turkish Social Media Posts with BERT-Base Model Ş Bayrak, A Karaca, F Toson, A Kocabey, FB ARSLANOĞLU 2023 31st Signal Processing and Communications Applications Conference (SIU …, 2023 | | 2023 |
Methods for the Recognition of Multisource Data in Intelligent Medicine: A Review and Next-Generation Trends S Bayrak, E Yucel Next Generation Healthcare Informatics, 1-25, 2022 | | 2022 |
Classification of epileptic eeg signals based on finite impulse response filter and artificial neural networks training algorithms Ş Bayrak, EY Demirel, R Şamlı Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 25 (3), 1431-1444, 2020 | | 2020 |
Interpretation of Deep Network Predictions on Various Data Sets Using LIME S Bayrak Explainable, Interpretable, and Transparent AI Systems, 137-150, 0 | | |
Web Uygulamaları için Derin Öğrenme Yöntemiyle Güvenlik Duvarı Uygulaması Firewall Application with the Deep Learning Method for the Web Applications Ş Bayrak, B Ardanuç | | |
Trigram özellik veri seti kullanılarak sınıflandırma yöntemleriyle dil tanıma Ş Bayrak Fen Bilimleri Enstitüsü, 0 | | |