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Salih Günes
Publication Activity (10 Years)
Years Active: 2000-2016
Publications (10 Years): 1
Top Topics
Depth Cues
Helmholtz Stereopsis
Driver Assistance
Structured Environments
Top Venues
Appl. Soft Comput.
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Publications
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Ismail Taha Comlekciler
,
Salih Günes
,
Celal Irgin
Artificial 3-D contactless measurement in orthognathic surgery with binocular stereo vision.
Appl. Soft Comput.
41 (2016)
Salih Günes
,
Mehmet Dursun
,
Kemal Polat
,
Sebnem Yosunkaya
Sleep spindles recognition system based on time and frequency domain features.
Expert Syst. Appl.
38 (3) (2011)
Kemal Polat
,
Salih Günes
,
Sülayman Tosun
Corrigendum to "Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing" [Pattern Recognition 39(11) (2006) 2186-2193].
Pattern Recognit.
44 (6) (2011)
Salih Günes
,
Kemal Polat
,
Sebnem Yosunkaya
Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting.
Expert Syst. Appl.
37 (12) (2010)
Bayram Akdemir
,
Salih Günes
,
Bülent Oran
,
Sevim Karaaslan
Prediction of cardiac end-systolic and end-diastolic diameters in m-mode values using adaptive neural fuzzy inference system.
Expert Syst. Appl.
37 (8) (2010)
Salih Günes
,
Kemal Polat
,
Sebnem Yosunkaya
Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndrome.
Expert Syst. Appl.
37 (2) (2010)
Ali Osman Özkan
,
Sadik Kara
,
Ali Salli
,
Mehmet Emin Sakarya
,
Salih Günes
Medical diagnosis of rheumatoid arthritis disease from right and left hand Ulnar artery Doppler signals using adaptive network based fuzzy inference system (ANFIS) and MUSIC method.
Adv. Eng. Softw.
41 (12) (2010)
Kemal Polat
,
Salih Günes
A new feature selection method on classification of medical datasets: Kernel F-score feature selection.
Expert Syst. Appl.
36 (7) (2009)
Seral Özsen
,
Salih Günes
,
Sadik Kara
,
Fatma Latifoglu
Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems.
IEEE Trans. Inf. Technol. Biomed.
13 (4) (2009)
Kemal Polat
,
Sadiotak Kara
,
Aysegül Güven
,
Salih Günes
Comparison of different classifier algorithms for diagnosing macular and optic nerve diseases.
Expert Syst. J. Knowl. Eng.
26 (1) (2009)
Halife Kodaz
,
Seral Özsen
,
Ahmet Arslan
,
Salih Günes
Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease.
Expert Syst. Appl.
36 (2) (2009)
Kemal Polat
,
Salih Günes
A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier system.
Expert Syst. Appl.
36 (1) (2009)
Bayram Akdemir
,
Bülent Oran
,
Salih Günes
,
Sevim Karaaslan
Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children, and Adolescents by Using Artificial Neural Network.
J. Medical Syst.
33 (5) (2009)
Sadik Kara
,
Bekir Hakan Aksebzeci
,
Halife Kodaz
,
Salih Günes
,
Esma Kaya
,
Hatice Özbilge
Medical application of information gain-based artificial immune recognition system (IG-AIRS): Classification of microorganism species.
Expert Syst. Appl.
36 (3) (2009)
Kemal Polat
,
Sadik Kara
,
Aysegül Güven
,
Salih Günes
Usage of class dependency based feature selection and fuzzy weighted pre-processing methods on classification of macular disease.
Expert Syst. Appl.
36 (2) (2009)
Kemal Polat
,
Salih Günes
A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems.
Expert Syst. Appl.
36 (2) (2009)
Seral Özsen
,
Salih Günes
Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problems.
Expert Syst. Appl.
36 (1) (2009)
Kemal Polat
,
Salih Günes
,
Ahmet Arslan
A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine.
Expert Syst. Appl.
34 (1) (2008)
Kemal Polat
,
Fatma Latifoglu
,
Sadik Kara
,
Salih Günes
Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals.
Medical Biol. Eng. Comput.
46 (4) (2008)
Kemal Polat
,
Salih Günes
Computer aided medical diagnosis system based on principal component analysis and artificial immune recognition system classifier algorithm.
Expert Syst. Appl.
34 (1) (2008)
Kemal Polat
,
Sebnem Yosunkaya
,
Salih Günes
Comparison of Different Classifier Algorithms on the Automated Detection of Obstructive Sleep Apnea Syndrome.
J. Medical Syst.
32 (3) (2008)
Seral Özsen
,
Salih Günes
Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizer.
Digit. Signal Process.
18 (4) (2008)
Bayram Akdemir
,
Salih Günes
,
Bülent Oran
Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children and Adolescents Via Adaptive Network Based Fuzzy Inference System.
ICIC (1)
(2008)
Aysegül Güven
,
Kemal Polat
,
Sadik Kara
,
Salih Günes
The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals.
Comput. Biol. Medicine
38 (1) (2008)
Kemal Polat
,
Bayram Akdemir
,
Salih Günes
Computer aided diagnosis of ECG data on the least square support vector machine.
Digit. Signal Process.
18 (1) (2008)
Bayram Akdemir
,
Salih Günes
,
Sebnem Yosunkaya
New Data Pre-processing on Assessing of Obstructive Sleep Apnea Syndrome: Line Based Normalization Method (LBNM).
ICIC (3)
(2008)
Bayram Akdemir
,
Sadik Kara
,
Kemal Polat
,
Aysegül Güven
,
Salih Günes
Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.
Artif. Intell. Medicine
43 (2) (2008)
Fatma Latifoglu
,
Kemal Polat
,
Sadik Kara
,
Salih Günes
Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS).
J. Biomed. Informatics
41 (1) (2008)
Kemal Polat
,
Salih Günes
Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer.
Expert Syst. Appl.
34 (1) (2008)
Kemal Polat
,
Salih Günes
Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals.
Expert Syst. Appl.
34 (3) (2008)
Kemal Polat
,
Sebnem Yosunkaya
,
Salih Günes
A New Approach to Diagnosing of Importance Degree of Obstructive Sleep Apnea Syndrome: Pairwise AIRS and Fuzzy-AIRS Classifiers.
J. Medical Syst.
32 (6) (2008)
Kemal Polat
,
Sadik Kara
,
Aysegül Güven
,
Salih Günes
Utilization of Discretization method on the diagnosis of optic nerve disease.
Comput. Methods Programs Biomed.
91 (3) (2008)
Kemal Polat
,
Salih Günes
A novel data reduction method: Distance based data reduction and its application to classification of epileptiform EEG signals.
Appl. Math. Comput.
200 (1) (2008)
Kemal Polat
,
Sebnem Yosunkaya
,
Salih Günes
Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome.
J. Medical Syst.
32 (5) (2008)
Kemal Polat
,
Salih Günes
A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS.
Comput. Methods Programs Biomed.
88 (2) (2007)
Kemal Polat
,
Salih Günes
A novel approach to estimation of E. coli promoter gene sequences: Combining feature selection and least square support vector machine (FS_LSSVM).
Appl. Math. Comput.
190 (2) (2007)
Kemal Polat
,
Salih Günes
Medical decision support system based on artificial immune recognition immune system (AIRS), fuzzy weighted pre-processing and feature selection.
Expert Syst. Appl.
33 (2) (2007)
Kemal Polat
,
Salih Günes
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform.
Appl. Math. Comput.
187 (2) (2007)
Kemal Polat
,
Salih Günes
Automatic determination of diseases related to lymph system from lymphography data using principles component analysis (PCA), fuzzy weighting pre-processing and ANFIS.
Expert Syst. Appl.
33 (3) (2007)
Fatma Latifoglu
,
Halife Kodaz
,
Sadik Kara
,
Salih Günes
Medical application of Artificial Immune Recognition System (AIRS): Diagnosis of atherosclerosis from carotid artery Doppler signals.
Comput. Biol. Medicine
37 (8) (2007)
Seral Sahan
,
Kemal Polat
,
Halife Kodaz
,
Salih Günes
A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.
Comput. Biol. Medicine
37 (3) (2007)
Kemal Polat
,
Salih Günes
An improved approach to medical data sets classification: artificial immune recognition system with fuzzy resource allocation mechanism.
Expert Syst. J. Knowl. Eng.
24 (4) (2007)
Emre Çomak
,
Kemal Polat
,
Salih Günes
,
Ahmet Arslan
A new medical decision making system: Least square support vector machine (LSSVM) with Fuzzy Weighting Pre-processing.
Expert Syst. Appl.
32 (2) (2007)
Kemal Polat
,
Salih Günes
Breast cancer diagnosis using least square support vector machine.
Digit. Signal Process.
17 (4) (2007)
Fatma Latifoglu
,
Seral Sahan
,
Sadik Kara
,
Salih Günes
Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems.
Expert Syst. Appl.
33 (3) (2007)
Kemal Polat
,
Salih Günes
Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine.
Appl. Math. Comput.
186 (1) (2007)
Seral Özsen
,
Sadik Kara
,
Fatma Latifoglu
,
Salih Günes
A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis.
Comput. Methods Programs Biomed.
88 (3) (2007)
Kemal Polat
,
Seral Sahan
,
Salih Günes
Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k.
Expert Syst. Appl.
32 (2) (2007)
Kemal Polat
,
Salih Günes
Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system.
Appl. Math. Comput.
189 (2) (2007)
Kemal Polat
,
Seral Sahan
,
Halife Kodaz
,
Salih Günes
Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism.
Expert Syst. Appl.
32 (1) (2007)
Bayram Akdemir
,
Kemal Polat
,
Salih Günes
Prediction of E.Coli Promoter Gene Sequences Using a Hybrid Combination Based on Feature Selection, Fuzzy Weighted Pre-processing, and Decision Tree Classifier.
KES (1)
(2007)
Kemal Polat
,
Seral Sahan
,
Salih Günes
A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis.
Expert Syst. Appl.
32 (4) (2007)
Kemal Polat
,
Ramazan Sekerci
,
Salih Günes
Artificial Immune Recognition System Based Classifier Ensemble on the Different Feature Subsets for Detecting the Cardiac Disorders from SPECT Images.
DEXA
(2007)
Kemal Polat
,
Sadik Kara
,
Aysegül Güven
,
Salih Günes
-NN Based Weighted Pre-processing for Diagnosing of Macular Disease.
ICANNGA (2)
(2007)
Kemal Polat
,
Salih Günes
An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease.
Digit. Signal Process.
17 (4) (2007)
Kemal Polat
,
Salih Günes
The effect to diagnostic accuracy of decision tree classifier of fuzzy and k-NN based weighted pre-processing methods to diagnosis of erythemato-squamous diseases.
Digit. Signal Process.
16 (6) (2006)
Kemal Polat
,
Salih Günes
Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation.
Digit. Signal Process.
16 (6) (2006)
Kemal Polat
,
Salih Günes
Automated identification of diseases related to lymph system from lymphography data using artificial immune recognition system with fuzzy resource allocation mechanism (fuzzy-AIRS).
Biomed. Signal Process. Control.
1 (4) (2006)
Kemal Polat
,
Salih Günes
A hybrid medical decision making system based on principles component analysis, k-NN based weighted pre-processing and adaptive neuro-fuzzy inference system.
Digit. Signal Process.
16 (6) (2006)
Kemal Polat
,
Seral Sahan
,
Salih Günes
A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia.
Expert Syst. Appl.
31 (2) (2006)
Kemal Polat
,
Sadik Kara
,
Fatma Latifoglu
,
Salih Günes
A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease.
ICARIS
(2006)
Kemal Polat
,
Salih Günes
,
Sülayman Tosun
Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing.
Pattern Recognit.
39 (11) (2006)
Seral Sahan
,
Kemal Polat
,
Halife Kodaz
,
Salih Günes
The Medical Applications of Attribute Weighted Artificial Immune System (AWAIS): Diagnosis of Heart and Diabetes Diseases.
ICARIS
(2005)
Kemal Polat
,
Seral Sahan
,
Halife Kodaz
,
Salih Günes
Outdoor Image Classification Using Artificial Immune Recognition System (AIRS) with Performance Evaluation by Fuzzy Resource Allocation Mechanism.
CAIP
(2005)
Kemal Polat
,
Seral Sahan
,
Halife Kodaz
,
Salih Günes
A New Classification Method for Breast Cancer Diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS).
ICNC (2)
(2005)
Seral Sahan
,
Halife Kodaz
,
Salih Günes
,
Kemal Polat
A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS).
ISCIS
(2004)
Salih Günes
,
Nihat Yilmaz
,
Ercan Yaldiz
Fault tolerant unicast routing algorithm based on parallel branching method for faulty hypercube.
ICECS
(2001)
Ali Öztürk
,
Salih Günes
,
Yüksel Özbay
Multifont Ottoman character recognition.
ICECS
(2000)