Application of pre-trained deep convolutional neural networks for coffee beans species detection Y Unal, YS Taspinar, I Cinar, R Kursun, M Koklu Food Analytical Methods 15 (12), 3232-3243, 2022 | 58 | 2022 |
Analysis of a Population of Diabetic Patients Databases with Classifiers M Köklü, Y ÜNAL World Academy of Science, Engineering and Technology, 2013 | 43 | 2013 |
Pairwise FCM based feature weighting for improved classification of vertebral column disorders Y Unal, K Polat, E Kocer, H. Computers in Biology and Medicine 46, 61-70, 2014 | 33 | 2014 |
Dijital öykü anlatımı ile verilen değerler eğitimine yönelik bir eylem araştırması E Kutlucan, R Çakır, Y Ünal Kastamonu Education Journal 27 (5), 2187-2202, 2018 | 25 | 2018 |
Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models Y Unal, E Polat, Kemal, Kocer, H. Applied Soft Computing 33, 65-76, 2015 | 22 | 2015 |
Diagnosis of pathology on the vertebral column with backpropagation and Naive Bayes classifier Y Unal, HE Kocer 2013 the international conference on technological advances in electrical …, 2013 | 22 | 2013 |
Classification of covid-19 dataset with some machine learning methods Y Ünal, MN Dudak Journal of Amasya university the institute of sciences and technology 1 (1 …, 2020 | 21 | 2020 |
Classification of vertebral column disorders and lumbar discs disease using attribute weighting algorithm with mean shift clustering Y Unal, K Polat, HE Kocer Measurement 77, 278-291, 2016 | 17 | 2016 |
A comparative study of vision transformers and convolutional neural networks: sugarcane leaf diseases identification S Öğrekçi, Y Ünal, MN Dudak European Food Research and Technology 249 (7), 1833-1843, 2023 | 13 | 2023 |
Automatic diagnosis of intervertebral degenerative disk disease using artificial neural network Y Unal, HE Kocer, HE Akkurt 6th International Advanced Technologies Symposium (IATS’11), 16-18, 2011 | 12 | 2011 |
A two-stage whale optimization method for classification of parkinson’s disease voice recordings S Ozturk, Y Unal Int J Intell Syst Appl Eng 8 (2), 84-93, 2020 | 11 | 2020 |
Ensembled correlation between liver analysis outputs SE Seker, Y Unal, Z Erdem, HE Kocer arXiv preprint arXiv:1401.6597, 2014 | 9 | 2014 |
A comparison of feature extraction techniques for diagnosis of lumbar intervertebral degenerative disc disease Y Ünal, HE Kocer, HE Akkurt International Symposium on INnovations in Intelligent SysTems and Applications, 2011 | 8 | 2011 |
Comparison of current convolutional neural network architectures for classification of damaged and undamaged cars Y Ünal, Ş Öztürk, MN Dudak, M Ekici Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings …, 2022 | 7 | 2022 |
Üniversite Öğrencilerinin Ortak Zorunlu Derslerdeki Başarılarının K-Means Algoritması ile incelenmesi Y Unal, U Ekim, M Köklü E-Journal of New World Sciences Academy 3 (1), 342-347, 2011 | 6* | 2011 |
Improving classification performance for an imbalanced educational dataset example using SMOTE Y Ünal, A Sağlam, O Kayhan Avrupa Bilim ve Teknoloji Dergisi, 485-489, 2019 | 5 | 2019 |
Classification of hazelnut species with pre-trained deep learning models S HARMANCI, Ü Yavuz, A Barış Intelligent Methods In Engineering Sciences 2 (2), 58-66, 2023 | 2 | 2023 |
An action research for the training of value provided with digital storytelling E KUTLUCAN, R ÇAKIR, Ü Yavuz Kastamonu Education Journal 27 (5), 2187, 2019 | 2 | 2019 |
Classification of raisin grains variety using some machine learning methods Y Unal, H Kaplan, Y Bektas, MB Caglar New Trends in Computer Sciences 1 (1), 62–69-62–69, 2023 | 1 | 2023 |
Correlation Between Liver Analysis Outputs SE Seker, Y Unal, Z Erdem, HE Kocer SCI, 2013 | 1 | 2013 |