| Recognition of the stomach cancer images with probabilistic HOG feature vector histograms by using HOG features SA Korkmaz, A Akçiçek, H Bínol, MF Korkmaz 2017 IEEE 15th International Symposium on Intelligent Systems and …, 2017 | 60 | 2017 |
| Classification of Molecular Structure Images by using ANN, RF, LBP, HOG, and Size Reduction Methods for early Stomach Cancer Detection SA Korkmaz, H Binol Journal of Molecular Structure, 2017 | 55 | 2017 |
| A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN SA Korkmaz, H Bínol, A Akçiçek, MF Korkmaz 2017 IEEE 15th International Symposium on Intelligent Systems and …, 2017 | 32 | 2017 |
| Big Data: controlling fraud by using machine learning libraries on Spark F Karataş, SA Korkmaz International Journal of Applied Mathematics Electronics and Computers 6 (1 …, 2018 | 31 | 2018 |
| A new method based for diagnosis of breast cancer cells from microscopic images: DWEE—JHT SA Korkmaz, M Poyraz Journal of medical systems 38, 1-9, 2014 | 28 | 2014 |
| Least square support vector machine and minumum redundacy maximum relavance for diagnosis of breast cancer from breast microscopic images SA Korkmaz, M Poyraz Procedia-social and behavioral sciences 174, 4026-4031, 2015 | 26 | 2015 |
| Diagnosis of breast cancer in light microscopic and mammographic images textures using relative entropy via kernel estimation SA Korkmaz, MF Korkmaz, M Poyraz Medical & biological engineering & computing 54, 561-573, 2016 | 23 | 2016 |
| A new method based cancer detection in mammogram textures by finding feature weights and using Kullback–Leibler measure with kernel estimation SA Korkmaz, MF Korkmaz Optik 126 (20), 2576-2583, 2015 | 18 | 2015 |
| Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope SA Korkmaz The Online Journal of Science and Technology-October 7 (4), 2017 | 14 | 2017 |
| Cancer detection in mammograms estimating feature weights via Kullback-Leibler measure SA Korkmaz, H Eren 2013 6th international congress on image and signal processing (CISP) 2 …, 2013 | 12 | 2013 |
| Diagnosis of breast cancer nano-biomechanics images taken from atomic force microscope SA Korkmaz, MF Korkmaz, M Poyraz, F Yakuphanoglu Journal of Nanoelectronics and Optoelectronics 11 (4), 551-559, 2016 | 11 | 2016 |
| Path planning for rescue vehicles via segmented satellite disaster images and GPS road map SA Korkmaz, M Poyraz 2016 9th International Congress on Image and Signal Processing, BioMedical …, 2016 | 10 | 2016 |
| Lbp özelliklerine dayanan lokasyon koruyan projeksiyon (lpp) boyut azaltma metodunun farklı sınıflandırıcılar üzerindeki performanslarının karşılaştırılması SA Korkmaz Sakarya University Journal of Science 22 (4), 1-1, 2018 | 9 | 2018 |
| New methods based on mRMR_LSSVM and mRMR_KNN for diagnosis of breast cancer from microscopic and mammography images of some patients SA Korkmaz, M Poyraz, A Bal, H Binol, IH Özercan, MF Korkmaz, ... International Journal of Biomedical Engineering and Technology 19 (2), 105-117, 2015 | 9 | 2015 |
| A new application based on GPLVM, LMNN, and NCA for early detection of the stomach cancer SA Korkmaz, F Esmeray Applied Artificial Intelligence 32 (6), 541-557, 2018 | 8 | 2018 |
| Quality lignite coal detection with discrete wavelet transform, discrete fourier transform, and ANN based on k-means clustering method SA Korkmaz, F Esmeray 2018 6th International Symposium on Digital Forensic and Security (ISDFS), 1-6, 2018 | 8 | 2018 |
| Recognition of the gastric molecular image based on decision tree and discriminant analysis classifiers by using discrete Fourier transform and features SA Korkmaz Applied Artificial Intelligence 32 (7-8), 629-643, 2018 | 7 | 2018 |
| Classification of histopathological gastric images using a new method SA Korkmaz Neural Computing and Applications 33, 12007-12022, 2021 | 5 | 2021 |
| Doğu Akdeniz Bölgesi turunçgillerinde vektör ile taşınan virüs benzeri bir hastalığın yayılması, taşınması, duyarlı tür ve çeşitlerin belirlenmesi ve tanılanması üzerine … S Korkmaz Doktora Tezi, Adana, 1997 | 5 | 1997 |
| Classification with Random ForestBased onLocal Tangent Space Alignment and Neighborhood Preserving Embedding for MSER features: MSER_DFT_LTSA-NPE_RF S AYTAÇ KORKMAZ, F ESMERAY International Journal of Modern Research in Engineering and Technology 3 (2 …, 2018 | 4 | 2018 |
Abdullah BalComputer Science, Georgia State UniversityVerified email at gsu.edu
