Serhat Ozekes
Serhat Ozekes
Professor of Computer Engineering, Uskudar University
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Cited by
Cited by
Predicting dropout student: An application of data mining methods in an online education program.
E Yukselturk, S Ozekes, YK Turel
European Journal of Open, Distance and e-learning 17 (1), 118-133, 2014
Veri madenciliği modelleri ve uygulama alanları
S Özekes
İstanbul Ticaret Üniversitesi, 2003
Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding
S Ozekes, O Osman, ON Ucan
Korean journal of radiology 9 (1), 1-9, 2008
Lung nodule diagnosis using 3D template matching
O Osman, S Ozekes, ON Ucan
Computers in Biology and Medicine 37 (8), 1167-1172, 2007
Neural network based response prediction of rTMS in major depressive disorder using QEEG cordance
TT Erguzel, S Ozekes, S Gultekin, N Tarhan, GH Sayar, A Bayram
Psychiatry investigation 12 (1), 61, 2015
Feature selection and classification of electroencephalographic signals: an artificial neural network and genetic algorithm based approach
TT Erguzel, S Ozekes, O Tan, S Gultekin
Clinical EEG and neuroscience 46 (4), 321-326, 2015
Mammographic mass detection using a mass template
S Özekes, O Osman, AY Camurcu
Korean journal of radiology 6 (4), 221-228, 2005
Computerized lung nodule detection using 3D feature extraction and learning based algorithms
S Ozekes, O Osman
Journal of medical systems 34 (2), 185-194, 2010
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
I Goker, O Osman, S Ozekes, MB Baslo, M Ertas, Y Ulgen
Journal of medical systems 36 (5), 2705-2711, 2012
Automatic lung nodule detection using template matching
S Ozekes, AY Camurcu
International Conference on Advances in Information Systems, 247-253, 2006
Classification and prediction in a data mining application
A Ozekes, Y Camurcu
Journal of Marmara for pure and applied sciences 18 (2), 157-172, 2002
Rule-based Lung region segmentation and nodule detection via Genetic Algorithm trained template matching
S Özekes
İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 6 (11), 17-30, 2007
Veri madenciliğinde sınıflama ve kestirim uygulaması
S Özekes, Y Çamurcu
Marmara Üniversitesi Fen Bilimleri Dergisi 18, 1-17, 2002
Evaluation of active queue management algorithms
S Özekes
İstanbul Ticaret Üniversitesi, 2005
Classification and prediction in data mining with neural networks
S Özekes, O Osman
IU-Journal of Electrical & Electronics Engineering 3 (1), 707-712, 2003
A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder
TT Erguzel, S Ozekes, GH Sayar, O Tan, N Tarhan
Neurocomputing 161, 220-228, 2015
Analysis of brain functional changes in high-frequency repetitive transcranial magnetic stimulation in treatment-resistant depression
S Ozekes, T Erguzel, GH Sayar, N Tarhan
Clinical EEG and neuroscience 45 (4), 257-261, 2014
Computerized detection of architectural distortions in digital mammograms
S Özekes, O Osman, AY Çamurcu
Elsevier Science Bv, 2005
Rule based detection of lung nodules in ct images
S Özekes, AY Çamurcu
IU-Journal of Electrical & Electronics Engineering 6 (1), 61-67, 2006
Data mining models and their applications
S Özekes
Journal of Istanbul Commerce University 3, 65-82, 2003
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