| 1D-local binary pattern based feature extraction for classification of epileptic EEG signals Y Kaya, M Uyar, R Tekin, S Yıldırım Applied Mathematics and Computation 243, 209-219, 2014 | 341 | 2014 |
| Brain tumor classification using modified local binary patterns (LBP) feature extraction methods K Kaplan, Y Kaya, M Kuncan, HM Ertunç Medical hypotheses 139, 109696, 2020 | 196 | 2020 |
| An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis K Kaplan, Y Kaya, M Kuncan, MR Minaz, HM Ertunç Applied Soft Computing 87, 106019, 2020 | 128 | 2020 |
| Detection of Parkinson's disease by shifted one dimensional local binary patterns from gait ÖF Ertuğrul, Y Kaya, R Tekin, MN Almalı Expert Systems with Applications 56, 156-163, 2016 | 123 | 2016 |
| A novel crossover operator for genetic algorithms: ring crossover Y Kaya, M Uyar arXiv preprint arXiv:1105.0355, 2011 | 123 | 2011 |
| Comparison of ANN and MLR models for estimating solar radiation in Turkey using NOAA/AVHRR data M Şahin, Y Kaya, M Uyar Advances in Space Research 51 (5), 891-904, 2013 | 118 | 2013 |
| A hybrid decision support system based on rough set and extreme learning machine for diagnosis of hepatitis disease Y Kaya, M Uyar Applied Soft Computing 13 (8), 3429-3438, 2013 | 114 | 2013 |
| Application of artificial neural network for automatic detection of butterfly species using color and texture features Y Kaya, L Kayci The visual computer 30, 71-79, 2014 | 108 | 2014 |
| Two novel local binary pattern descriptors for texture analysis Y Kaya, ÖF Ertuğrul, R Tekin Applied Soft Computing 34, 728-735, 2015 | 93 | 2015 |
| A novel feature extraction method for bearing fault classification with one dimensional ternary patterns M Kuncan, K Kaplan, MR Mi̇naz, Y Kaya, HM Ertunç ISA transactions 100, 346-357, 2020 | 90 | 2020 |
| Application of extreme learning machine for estimating solar radiation from satellite data M Şahin, Y Kaya, M Uyar, S Yıldırım International Journal of Energy Research 38 (2), 205-212, 2014 | 81 | 2014 |
| A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification Y Kaya, M Kuncan, K Kaplan, MR Minaz, HM Ertunç Journal of Experimental & Theoretical Artificial Intelligence 33 (1), 161-178, 2021 | 64 | 2021 |
| Evaluation of texture features for automatic detecting butterfly species using extreme learning machine Y Kaya, L Kayci, R Tekin, Ö Faruk Ertuğrul Journal of Experimental & Theoretical Artificial Intelligence 26 (2), 267-281, 2014 | 63 | 2014 |
| A detailed analysis on extreme learning machine and novel approaches based on ELM ÖF Ertuğrul, Y Kaya American Journal of computer science and engineering 1 (5), 43-50, 2014 | 58 | 2014 |
| Automatic identification of butterfly species based on local binary patterns and artificial neural network Y Kaya, L Kayci, M Uyar Applied Soft Computing 28, 132-137, 2015 | 55 | 2015 |
| A computer vision system for the automatic identification of butterfly species via gabor-filter-based texture features and extreme learning machine: GF+ ELM Y Kaya, L Kayci, R Tekin TEM J 2 (1), 13-20, 2013 | 52 | 2013 |
| A novel approach for SEMG signal classification with adaptive local binary patterns ÖF Ertuğrul, Y Kaya, R Tekin Medical & biological engineering & computing 54, 1137-1146, 2016 | 43 | 2016 |
| Modeling insect-egg data with excess zeros using zero-inflated regression models A Yesilova, MB Kaydan, K Yilmaz Hacettepe Journal of Mathematics and Statistics 39 (2), 273-282, 2010 | 43 | 2010 |
| Classification of bearing vibration speeds under 1D-LBP based on eight local directional filters Y Kaya, M Kuncan, K Kaplan, MR Minaz, HM Ertunç Soft Computing 24, 12175-12186, 2020 | 40 | 2020 |
| Hidden pattern discovery on epileptic EEG with 1-D local binary patterns and epileptic seizures detection by grey relational analysis Y Kaya Australasian physical & engineering sciences in medicine 38, 435-446, 2015 | 38 | 2015 |
Ömer Faruk ErtuğrulBatman Universitybatman.edu.tr üzerinde doğrulanmış e-posta adresine sahip
