A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms H Badem, A Basturk, A Caliskan, ME Yuksel Neurocomputing 266, 506-526, 2017 | 127 | 2017 |
A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise ME Yuksel IEEE Transactions on Image Processing 15 (4), 928-936, 2006 | 122 | 2006 |
A simple neuro-fuzzy impulse detector for efficient blur reduction of impulse noise removal operators for digital images ME Yuksel, E Besdok IEEE Transactions on Fuzzy Systems 12 (6), 854-865, 2004 | 115 | 2004 |
Diagnosis of the parkinson disease by using deep neural network classifier A Caliskan, H Badem, A Basturk, ME Yuksel Istanbul University-Journal of Electrical & Electronics Engineering 17 (2 …, 2017 | 111 | 2017 |
Efficient removal of impulse noise from highly corrupted digital images by a simple neuro-fuzzy operator ME Yuksel, A Basturk International Journal of Electronics and Communications 57 (3), 214, 2003 | 78 | 2003 |
Application of type-2 fuzzy logic filtering to reduce noise in color images ME Yuksel, A Basturk IEEE Computational intelligence magazine 7 (3), 25-35, 2012 | 68 | 2012 |
A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization H Badem, A Basturk, A Caliskan, ME Yuksel Applied Soft Computing 70, 826-844, 2018 | 62 | 2018 |
Performance improvement of deep neural network classifiers by a simple training strategy A Caliskan, ME Yuksel, H Badem, A Basturk Engineering Applications of Artificial Intelligence 67, 14-23, 2018 | 60 | 2018 |
Classification of coronary artery disease data sets by using a deep neural network A Caliskan, ME Yuksel The EuroBiotech Journal 1 (4), 271-277, 2017 | 48 | 2017 |
A deep neural network classifier for decoding human brain activity based on magnetoencephalography A Caliskan, ME Yuksel, H Badem, A Basturk Elektronika ir Elektrotechnika 23 (2), 63-67, 2017 | 34 | 2017 |
Classification of high resolution hyperspectral remote sensing data using deep neural networks ME Yuksel, NS Basturk, H Badem, A Caliskan, A Basturk Journal of Intelligent & Fuzzy Systems 34 (4), 2273-2285, 2018 | 30 | 2018 |
Classification and diagnosis of the parkinson disease by stacked autoencoder H Badem, A Caliskan, A Basturk, ME Yuksel Electrical, Electronics and Biomedical Engineering (ELECO), 2016 National …, 2016 | 28 | 2016 |
Inspection of defects in fabrics using Gabor wavelets and principle component analysis A Basturk, H Ketencioglu, Z Yugnak, ME Yuksel Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International …, 2007 | 24 | 2007 |
Classification of human activity by using a stacked autoencoder H Badem, A Caliskan, A Basturk, ME Yuksel Medical Technologies National Congress (TIPTEKNO), 2016, 1-4, 2016 | 22 | 2016 |
A detail-preserving type-2 fuzzy logic filter for impulse noise removal from digital images MT Yildirim, A Basturk, ME Yuksel Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International, 1-6, 2007 | 22 | 2007 |
A neuro‐fuzzy computing technique for modeling laser‐diode nonlinearity in a radio‐over‐fibre link ME Yuksel, I Develi International Journal of RF and Microwave Computer‐Aided Engineering: Co …, 2005 | 8 | 2005 |
Application of differential evolution algorithm to the modeling of laser diode nonlinearity in a radio‐over‐fiber network A Akdagli, ME Yuksel Microwave and Optical Technology Letters 48 (6), 1130-1133, 2006 | 7 | 2006 |
The effect of autoencoders over reducing the dimensionality of a dermatology data set A Caliskan, H Badem, A Basturk, ME Yuksel Medical Technologies National Congress (TIPTEKNO), 2016, 1-4, 2016 | 6 | 2016 |
Adaptive neuro-fuzzy inference system for speckle noise reduction in SAR images A Basturk, ME Yuksel Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International …, 2007 | 5 | 2007 |
Output Enhancement of Impulse Noise Filters by Edge Detection and Neuro-fuzzy Processing Y Yuksel, M Alci, ME Yuksel New Advances in Intelligent Decision Technologies, 329-339, 2009 | 3 | 2009 |