| Makine öğrenmesi yöntemleri ile Duygu Analizi O Kaynar, Y Görmez, M Yıldız, A Albayrak International Artificial Intelligence and Data Processing Symposium (IDAP'16 …, 2016 | 77 | 2016 |
| Makine Öğrenmesi ve Öznitelik Seçim Yöntemleriyle Saldırı Tespiti O KAYNAR, H ARSLAN, Y GÖRMEZ, YE IŞIK Bilişim Teknolojileri Dergisi 11 (2), 175-185, 2018 | 44 | 2018 |
| Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ... NPJ digital medicine 4 (1), 53, 2021 | 39 | 2021 |
| MAKİNE ÖĞRENMESİ YÖNTEMLERİYLE MÜŞTERİ KAYBI ANALİZİ O KAYNAR, MF TUNA, Y GÖRMEZ, MA DEVECİ Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi 18 (1), 1-14, 2017 | 39 | 2017 |
| A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks Y Gormez, Z Aydin, R Karademir, VC Gungor International Journal of Communication Systems, e4401, 2020 | 27 | 2020 |
| Intrusion detection with autoencoder based deep learning machine O Kaynar, AG Yüksek, Y Görmez, YE Işik 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 23 | 2017 |
| Sentiment Analizinde Öznitelik Düşürme Yöntemlerinin Oto Kodlayıcılı Derin Öğrenme Makinaları ile Karşılaştırılması O KAYNAR, Z AYDIN, Y GÖRMEZ Bilişim Teknolojileri Dergisi 10 (3), 319-326, 2017 | 23 | 2017 |
| Fabric defect detection with LBP-GLMC O Kaynar, YE Işik, Y Görmez, F Demirkoparan 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 22 | 2017 |
| IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction Y Görmez, M Sabzekar, Z Aydın Proteins: Structure, Function, and Bioinformatics 89 (10), 1277-1288, 2021 | 15 | 2021 |
| FBSEM: A Novel Feature-Based Stacked Ensemble Method for Sentiment Analysis Y Görmez, YE Işık, M Temiz, Z Aydın | 14 | 2020 |
| NSEM: novel stacked ensemble method for sentiment analysis E Yunus, Y GÖRMEZ, O KAYNAR, Z Aydin 2018 International Conference on Artificial Intelligence and Data Processing …, 2018 | 12 | 2018 |
| Comparison of graph based document summarization method O Kaynar, Y Görmez, YE Işık, F Demirkoparan 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 12 | 2017 |
| Estimation of obesity levels with a trained neural Network Approach optimized by the bayesian technique FH Yagin, M Gülü, Y Gormez, A Castañeda-Babarro, C Colak, G Greco, ... Applied Sciences 13 (6), 3875, 2023 | 11 | 2023 |
| Dimensionality reduction for protein secondary structure and solvent accesibility prediction Z Aydin, O Kaynar, Y Görmez Journal of bioinformatics and computational biology 16 (05), 1850020, 2018 | 8 | 2018 |
| Oto Kodlayıcı Tabanlı Derin Öğrenme Makinaları İle Spam Tespiti. 3 O Kaynar, Y Görmez, YE Işık Uluslararası Yönetim Bilişim Sistemleri Konferansı 44, 2016 | 8 | 2016 |
| Protein İkincil Yapı Tahmini İçin Makine Öğrenmesi Yöntemlerinin Karşılaştırılması Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction Z AYDIN, O KAYNAR, Y GÖRMEZ, YE IŞIK | 6* | 2018 |
| Dimensionality reduction for protein secondary structure prediction Y Görmez Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017 | 6 | 2017 |
| IGPRED-MultiTask: a deep learning model to predict protein secondary structure, torsion angles and solvent accessibility Y Görmez, Z Aydin IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 5 | 2022 |
| Automatic classification of natural stone tiles with computer vision O Kaynar, Y Torun, M Temiz, Y Görmez 2018 3rd International Conference on Computer Science and Engineering (UBMK …, 2018 | 4 | 2018 |
| Graph based automatic document summarization with different similarity methods O Kaynar, YE Işik, Y Görmez 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 4 | 2017 |
oğuz kaynarCumhuriyet ÜniversitesiVerified email at cumhuriyet.edu.tr
