Yilmaz Kaya

According to our database, Yilmaz Kaya authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2024

Comparing of brain tumor diagnosis with developed local binary patterns methods.

Mehmet Gül, Yilmaz Kaya

Neural Comput. Appl., May, 2024

A new local pooling approach for convolutional neural network: local binary pattern.

Cüneyt Özdemir, Yahya Dogan, Yilmaz Kaya

Multim. Tools Appl., April, 2024

2022

A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM.

Yilmaz Kaya, Fatma Kuncan

Biomed. Signal Process. Control., September, 2022

A new approach for physical human activity recognition based on co-occurrence matrices.

Fatma Kuncan, Yilmaz Kaya, Ramazan Tekin, Melih Kuncan

J. Supercomput., 2022

A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods.

Yilmaz Kaya, Fatma Kuncan, Huseyin Metin Ertunç

Turkish J. Electr. Eng. Comput. Sci., 2022

A new approach for congestive heart failure and arrhythmia classification using downsampling local binary patterns with LSTM.

Süleyman Akdag, Fatma Kuncan, Yilmaz Kaya

Turkish J. Electr. Eng. Comput. Sci., 2022

A new approach for physical human activity recognition from sensor signals based on motif patterns and long-short term memory.

Fatma Kuncan, Yilmaz Kaya, Züleyha Yiner, Mahmut Kaya

Biomed. Signal Process. Control., 2022

2021

Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease.

Erdogan Özel, Ramazan Tekin, Yilmaz Kaya

Traitement du Signal, 2021

Age Estimation from Left-Hand Radiographs with Deep Learning Methods.

Cüneyt Özdemir, Mehmet Ali Gedik, Yilmaz Kaya

Traitement du Signal, 2021

A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification.

Yilmaz Kaya, Melih Kuncan, Kaplan Kaplan, Mehmet Recep Minaz, H. Metin Ertunç

J. Exp. Theor. Artif. Intell., 2021

2020

Classification of bearing vibration speeds under 1D-LBP based on eight local directional filters.

Yilmaz Kaya, Melih Kuncan, Kaplan Kaplan, Mehmet Recep Minaz, H. Metin Ertunç

Soft Comput., 2020

New local binary pattern approaches based on color channels in texture classification.

Ramazan Tekin, Ömer Faruk Ertugrul, Yilmaz Kaya

Multim. Tools Appl., 2020

An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis.

Kaplan Kaplan, Yilmaz Kaya, Melih Kuncan, Mehmet Recep Minaz, H. Metin Ertunç

Appl. Soft Comput., 2020

Using ResNet Transfer Deep Learning Methods in Person Identification According to Physical Actions.

Safak Kiliç, Iman N. Askerzade, Yilmaz Kaya

IEEE Access, 2020

2019

Estimation of neurological status from non-electroencephalography bio-signals by motif patterns.

Yilmaz Kaya, Ömer Faruk Ertugrul

Appl. Soft Comput., 2019

2017

Determining the optimal number of body-worn sensors for human activity recognition.

Ömer Faruk Ertugrul, Yilmaz Kaya

Soft Comput., 2017

Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors.

Yilmaz Kaya, Ömer Faruk Ertugrul

Signal Image Video Process., 2017

2016

A novel feature extraction approach in SMS spam filtering for mobile communication: one-dimensional ternary patterns.

Yilmaz Kaya, Ömer Faruk Ertugrul

Secur. Commun. Networks, 2016

A novel approach for spam email detection based on shifted binary patterns.

Yilmaz Kaya, Ömer Faruk Ertugrul

Secur. Commun. Networks, 2016

A novel approach for SEMG signal classification with adaptive local binary patterns.

Ömer Faruk Ertugrul, Yilmaz Kaya, Ramazan Tekin

Medical Biol. Eng. Comput., 2016

Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait.

Ömer Faruk Ertugrul, Yilmaz Kaya, Ramazan Tekin, Mehmet Nuri Almali

Expert Syst. Appl., 2016

2015

Automatic identification of butterfly species based on local binary patterns and artificial neural network.

Yilmaz Kaya, Lokman Kayci, Murat Uyar

Appl. Soft Comput., 2015

Two novel local binary pattern descriptors for texture analysis.

Yilmaz Kaya, Ömer Faruk Ertugrul, Ramazan Tekin

Appl. Soft Comput., 2015

2014

Application of artificial neural network for automatic detection of butterfly species using color and texture features.

Yilmaz Kaya, Lokman Kayci

Vis. Comput., 2014

Evaluation of texture features for automatic detecting butterfly species using extreme learning machine.

Yilmaz Kaya, Lokman Kayci, Ramazan Tekin, Ömer Faruk Ertugrul

J. Exp. Theor. Artif. Intell., 2014

1D-local binary pattern based feature extraction for classification of epileptic EEG signals.

Yilmaz Kaya, Murat Uyar, Ramazan Tekin, Selçuk Yildirim

Appl. Math. Comput., 2014

A new approach for diagnostic estimation of Obstructive Sleep Apnea Syndrome based on One Dimensional Local Binary Pattern.

Yilmaz Kaya, Necmettin Sezgin, Ramazan Tekin

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013

A hybrid decision support system based on rough set and extreme learning machine for diagnosis of hepatitis disease.

Yilmaz Kaya, Murat Uyar

Appl. Soft Comput., 2013

Classification of power quality disturbances based on S-transform and image processing techniques.

Murat Uyar, Yilmaz Kaya, Musa Atas

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Bispectral analysis of epileptic EEG signals.

Necmettin Sezgin, M. Emin Tagluk, Ömer Faruk Ertugrul, Yilmaz Kaya

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Classification of butterfly images with multi-scale local binary patterns.

Yilmaz Kaya, Lokman Kayci, Necmettin Sezgin

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

A computer vision system for classification of some Euphorbia (Euphorbiaceae) seeds based on local binary patterns.

Yilmaz Kaya, Osman Karabacak, Abidin Çaliskan

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

EMG signal classification by extreme learning machine.

Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya, Ramazan Tekin

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Fault detection at power transmission lines by extreme learning machine.

Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Classification of pollen images with structural characteristics.

M. Emre Erez, Yilmaz Kaya, Abidin Çaliskan

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

An efficient rotation invariant feature extraction method based on ring projection technique.

Musa Atas, Yilmaz Kaya, Murat Uyar

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012

Diagnostic estimation of OSAS using binary mixture logistic regression.

Yilmaz Kaya, M. Emin Tagluk, Necmettin Sezgin

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Fault analysis of power transmission line by Wigner Ville distribution, gray-level co-occurrence matrix and pattern recognation.

Ömer Faruk Ertugrul, M. Emin Tagluk, Yilmaz Kaya

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2011

A Novel Crossover Operator for Genetic Algorithms: Ring Crossover

Yilmaz Kaya, Murat Uyar, Ramazan Tekin

CoRR, 2011

2010

Yüzüncü Yıl Üniversitesi e-posta trafiğinin sıfır değer ağırlıklı regresyon yöntemleri kullanılarak incelenmesi (Investigation of e-mail traffic of Yüzüncü Yil University using zero-inflated regression models)

Yilmaz Kaya

PhD thesis, 2010