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ORCIDSalih Günes
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2010 – 2019
- 2016
[j56]Ismail Taha Comlekciler
, Salih Günes, Celal Irgin:
Artificial 3-D contactless measurement in orthognathic surgery with binocular stereo vision. Appl. Soft Comput. 41: 505-514 (2016)- 2011
- [j55]Salih Günes, Mehmet Dursun, Kemal Polat, Sebnem Yosunkaya:
Sleep spindles recognition system based on time and frequency domain features. Expert Syst. Appl. 38(3): 2455-2461 (2011) - [j54]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): 1327 (2011) - 2010
- [j53]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): 1295-1301 (2010) - [j52]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): 998-1004 (2010) - [j51]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): 5720-5727 (2010) - [j50]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): 7922-7928 (2010)
2000 – 2009
- 2009
- [j49]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): 22-34 (2009) - [j48]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): 57-64 (2009) - [j47]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): 386-392 (2009) - [j46]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): 1587-1592 (2009) - [j45]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): 2584-2591 (2009) - [j44]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): 3086-3092 (2009) - [j43]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): 5168-5172 (2009) - [j42]Kemal Polat, Salih Günes:
A new feature selection method on classification of medical datasets: Kernel F-score feature selection. Expert Syst. Appl. 36(7): 10367-10373 (2009) - [j41]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): 379-388 (2009) - [j40]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): 621-628 (2009) - 2008
- [j39]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): 10-27 (2008) - [j38]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): 141-149 (2008) - [j37]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): 62-68 (2008) - [j36]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): 255-264 (2008) - [j35]Kemal Polat, Bayram Akdemir, Salih Günes:
Computer aided diagnosis of ECG data on the least square support vector machine. Digit. Signal Process. 18(1): 25-32 (2008) - [j34]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): 635-645 (2008) - [j33]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): 214-221 (2008) - [j32]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): 482-487 (2008) - [j31]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): 773-779 (2008) - [j30]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): 2039-2048 (2008) - [j29]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): 15-23 (2008) - [j28]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): 243-250 (2008) - [j27]Kemal Polat, Sebnem Yosunkaya, Salih Günes:
Pairwise ANFIS Approach to Determining the Disorder Degree of Obstructive Sleep Apnea Syndrome. J. Medical Syst. 32(5): 379-387 (2008) - [j26]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): 489-497 (2008) - [j25]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): 353-362 (2008) - [c12]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: 185-191 - [c11]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: 498-505 - 2007
- [j24]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): 898-906 (2007) - [j23]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): 1017-1026 (2007) - [j22]Kemal Polat, Salih Günes:
Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system. Appl. Math. Comput. 189(2): 1282-1291 (2007) - [j21]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): 1574-1582 (2007) - [j20]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): 415-423 (2007) - [j19]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): 1092-1099 (2007) - [j18]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): 164-174 (2007) - [j17]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): 246-255 (2007) - [j16]Kemal Polat, Salih Günes:
Breast cancer diagnosis using least square support vector machine. Digit. Signal Process. 17(4): 694-701 (2007) - [j15]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): 702-710 (2007) - [j14]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): 252-270 (2007) - [j13]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): 172-183 (2007) - [j12]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): 409-414 (2007) - [j11]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): 625-631 (2007) - [j10]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): 1141-1147 (2007) - [j9]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): 484-490 (2007) - [j8]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): 636-641 (2007) - [j7]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): 786-793 (2007) - [c10]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: 45-53 - [c9]Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes:
A Hybrid Automated Detection System Based on Least Square Support Vector Machine Classifier and k -NN Based Weighted Pre-processing for Diagnosing of Macular Disease. ICANNGA (2) 2007: 338-345 - [c8]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: 125-131 - 2006
- [j6]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): 253-260 (2006) - [j5]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): 889-901 (2006) - [j4]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): 913-921 (2006) - [j3]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): 922-930 (2006) - [j2]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): 264-269 (2006) - [j1]Kemal Polat, Salih Günes, Sülayman Tosun:
Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing. Pattern Recognit. 39(11): 2186-2193 (2006) - [c7]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: 244-255 - 2005
- [c6]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: 81-87 - [c5]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: 456-468 - [c4]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: 830-838 - 2004
- [c3]Seral Sahan, Halife Kodaz, Salih Günes, Kemal Polat:
A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS). ISCIS 2004: 11-20 - 2001
- [c2]Salih Günes, Nihat Yilmaz, Ercan Yaldiz:
Fault tolerant unicast routing algorithm based on parallel branching method for faulty hypercube. ICECS 2001: 103-106 - 2000
- [c1]Ali Öztürk, Salih Günes, Yüksel Özbay:
Multifont Ottoman character recognition. ICECS 2000: 945-949
Coauthor Index
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