| Plant leaf disease classification using EfficientNet deep learning model Ü Atila, M Uçar, K Akyol, E Uçar Ecological Informatics 61, 101182, 2021 | 550 | 2021 |
| Automated detection of Covid-19 disease using deep fused features from chest radiography images E Ucar, Ü Atila, M Ucar, K Akyol Biomedical Signal Processing and Control 69, 102862, 2021 | 16 | 2021 |
| Real time detection of alternator failures using intelligent control systems M Uçar, R Bayir, M Özer 2009 International Conference on Electrical and Electronics Engineering …, 2009 | 15 | 2009 |
| A Deep learning approach for detection of malicious URLs E Uçar, M Uçar, MO İNCETAŞ 6th International Management Information Systems Conference, 12-20, 2019 | 14 | 2019 |
| Computer-aided detection of lung nodules in chest X-rays using deep convolutional neural networks M Uçar, E Uçar Sakarya Üniversitesi Bilgisayar ve Bilişim Bilimleri Dergisi (Online), 2019 | 14 | 2019 |
| A statistical approach to classification of keratoconus M Ucar, HB Cakmak, B Sen International Journal of Ophthalmology 9 (9), 1355, 2016 | 14 | 2016 |
| Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM M Uçar, K Akyol, Ü Atila, E Uçar IRBM, 2021 | 10 | 2021 |
| Glokom Hastalığının Evrişimli Sinir Ağı Mimarileri ile Tespiti U Murat Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 23 …, 2021 | 7 | 2021 |
| Prediction of sports attendance: A comparative analysis M Şahin, M Uçar Proceedings of the Institution of Mechanical Engineers, Part P: Journal of …, 2021 | 7 | 2021 |
| Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach M Uçar Neural Computing and Applications 34 (24), 21927-21938, 2022 | 6 | 2022 |
| Applying capsule network on Kannada-MNIST handwritten digit dataset E UÇAR, M UÇAR Natural and Engineering Sciences 4 (3), 100-106, 2019 | 6 | 2019 |
| A novel image Denoising approach using super resolution densely connected convolutional networks MO İncetaş, M Uçar, E Uçar, U Köse Multimedia Tools and Applications 81 (23), 33291-33309, 2022 | 5 | 2022 |
| Derin Otomatik Kodlayıcı Tabanlı Özellik Çıkarımı İle Android Kötücül Yazılım Uygulamalarının Tespiti. M Uçar, E Uçar Yönetim Bilisim Sistemleri Dergisi 5 (2), 21-28, 2019 | 5 | 2019 |
| Deep neural network model with Bayesian optimization for tuberculosis detection from X-Ray images M Uçar Multimedia Tools and Applications 82 (24), 36951-36972, 2023 | 4 | 2023 |
| A stacking ensemble learning approach for intrusion detection system U Murat, U Emine, MO İncetaş Düzce Üniversitesi Bilim ve Teknoloji Dergisi 9 (4), 1329-1341, 2021 | 4 | 2021 |
| A novel classification and estimation approach for detecting keratoconus disease with intelligent systems M Ucar, B Sen, HB Cakmak 2013 8th International Conference on Electrical and Electronics Engineering …, 2013 | 3 | 2013 |
| Using Machine Learning Algorithms for Jumping Distance Prediction of Male Long Jumpers U Murat, MO İNCETAŞ, I Bayraktar, M Çilli Journal of Intelligent Systems: Theory and Applications 5 (2), 145-152, 2022 | 2 | 2022 |
| Investigation of The Sensitivity Tolerance Parameter to Noise-Related Effect Using Sample Entropy V Alcan, M Uçar CISET-2nd cilicia international symposium on engineering and technology, 146-149, 2019 | 2 | 2019 |
| An ensemble approach for classification of tympanic membrane conditions using soft voting classifier K Akyol, E Uçar, Ü Atila, M Uçar Multimedia Tools and Applications, 1-22, 2024 | 1 | 2024 |
| Analysing the success of level determination exam according to the school type and lesson type that is represented by questions in the exam A Çavuşoğlu, B Şen, E Ucar, M Ucar Procedia-Social and Behavioral Sciences 103, 122-126, 2013 | 1 | 2013 |
