Takip et
Yılmaz Kaya
Yılmaz Kaya
siirt.edu.tr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2832014
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
1022013
A novel crossover operator for genetic algorithms: ring crossover
Y Kaya, M Uyar
arXiv preprint arXiv:1105.0355, 2011
1022011
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
922013
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
822016
Two novel local binary pattern descriptors for texture analysis
Y Kaya, ÖF Ertuğrul, R Tekin
Applied Soft Computing 34, 728-735, 2015
792015
Application of artificial neural network for automatic detection of butterfly species using color and texture features
Y Kaya, L Kayci
The visual computer 30 (1), 71-79, 2014
792014
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
712020
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
652014
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
592020
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
582020
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
552014
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
492014
A novel approach for SEMG signal classification with adaptive local binary patterns
ÖF Ertuğrul, Y Kaya, R Tekin
Medical & biological engineering & computing 54 (7), 1137-1146, 2016
382016
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
382015
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
382013
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
382010
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 (3), 435-446, 2015
372015
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
312021
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 (16), 12175-12186, 2020
302020
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