Salih Günes - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 55 from 55

2016

Artificial 3-D contactless measurement in orthognathic surgery with binocular stereo visionIsmail Taha Comlekciler, Salih Günes, Celal Irgin. asc, 41:505-514, 2016. [doi]

2011

Sleep spindles recognition system based on time and frequency domain featuresSalih Günes, Mehmet Dursun, Kemal Polat, Sebnem Yosunkaya. eswa, 38(3):2455-2461, 2011. [doi]

Corrigendum to Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing [Pattern Recognition 39(11) (2006) 2186-2193]Kemal Polat, Salih Günes, Sülayman Tosun. PR, 44(6):1327, 2011. [doi]

2010

Prediction of cardiac end-systolic and end-diastolic diameters in m-mode values using adaptive neural fuzzy inference systemBayram Akdemir, Salih Günes, Bülent Oran, Sevim Karaaslan. eswa, 37(8):5720-5727, 2010. [doi]

Multi-class f-score feature selection approach to classification of obstructive sleep apnea syndromeSalih Günes, Kemal Polat, Sebnem Yosunkaya. eswa, 37(2):998-1004, 2010. [doi]

Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weightingSalih Günes, Kemal Polat, Sebnem Yosunkaya. eswa, 37(12):7922-7928, 2010. [doi]

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 methodAli Osman Özkan, Sadik Kara, Ali Salli, Mehmet Emin Sakarya, Salih Günes. aes, 41(12):1295-1301, 2010. [doi]

2009

Comparison of different classifier algorithms for diagnosing macular and optic nerve diseasesKemal Polat, Sadiotak Kara, Aysegül Güven, Salih Günes. es, 26(1):22-34, 2009. [doi]

2008

Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children and Adolescents Via Adaptive Network Based Fuzzy Inference SystemBayram Akdemir, Salih Günes, Bülent Oran. icic 2008: 498-505 [doi]

New Data Pre-processing on Assessing of Obstructive Sleep Apnea Syndrome: Line Based Normalization Method (LBNM)Bayram Akdemir, Salih Günes, Sebnem Yosunkaya. icic 2008: 185-191 [doi]

Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signalsBayram Akdemir, Sadik Kara, Kemal Polat, Aysegül Güven, Salih Günes. artmed, 43(2):141-149, 2008. [doi]

The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signalsAysegül Güven, Kemal Polat, Sadik Kara, Salih Günes. cbm, 38(1):62-68, 2008. [doi]

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)Fatma Latifoglu, Kemal Polat, Sadik Kara, Salih Günes. jbi, 41(1):15-23, 2008. [doi]

Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signalsKemal Polat, Fatma Latifoglu, Sadik Kara, Salih Günes. mbec, 46(4):353-362, 2008. [doi]

Utilization of Discretization method on the diagnosis of optic nerve diseaseKemal Polat, Sadik Kara, Aysegül Güven, Salih Günes. cmpb, 91(3):255-264, 2008. [doi]

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 signalsKemal Polat, Salih Günes. eswa, 34(3):2039-2048, 2008. [doi]

Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancerKemal Polat, Salih Günes. eswa, 34(1):214-221, 2008. [doi]

A novel data reduction method: Distance based data reduction and its application to classification of epileptiform EEG signalsKemal Polat, Salih Günes. amc, 200(1):10-27, 2008. [doi]

A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector MachineKemal Polat, Salih Günes, Ahmet Arslan. eswa, 34(1):482-487, 2008. [doi]

Computer aided medical diagnosis system based on principal component analysis and artificial immune recognition system classifier algorithmKemal Polat, Salih Günes. eswa, 34(1):773-779, 2008. [doi]

Computer aided diagnosis of ECG data on the least square support vector machineKemal Polat, Bayram Akdemir, Salih Günes. dsp, 18(1):25-32, 2008. [doi]

Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizerSeral Özsen, Salih Günes. dsp, 18(4):635-645, 2008. [doi]

2007

Prediction of E.Coli Promoter Gene Sequences Using a Hybrid Combination Based on Feature Selection, Fuzzy Weighted Pre-processing, and Decision Tree ClassifierBayram Akdemir, Kemal Polat, Salih Günes. kes 2007: 125-131 [doi]

Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systemsFatma Latifoglu, Seral Sahan, Sadik Kara, Salih Günes. eswa, 33(3):786-793, 2007. [doi]

Medical application of Artificial Immune Recognition System (AIRS): Diagnosis of atherosclerosis from carotid artery Doppler signalsFatma Latifoglu, Halife Kodaz, Sadik Kara, Salih Günes. cbm, 37(8):1092-1099, 2007. [doi]

Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and kKemal Polat, Seral Sahan, Salih Günes. eswa, 32(2):625-631, 2007. [doi]

Prediction of hepatitis disease based on principal component analysis and artificial immune recognition systemKemal Polat, Salih Günes. amc, 189(2):1282-1291, 2007. [doi]

Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanismKemal Polat, Seral Sahan, Halife Kodaz, Salih Günes. eswa, 32(1):172-183, 2007. [doi]

Breast cancer diagnosis using least square support vector machineKemal Polat, Salih Günes. dsp, 17(4):694-701, 2007. [doi]

Automatic determination of diseases related to lymph system from lymphography data using principles component analysis (PCA), fuzzy weighting pre-processing and ANFISKemal Polat, Salih Günes. eswa, 33(3):636-641, 2007. [doi]

Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transformKemal Polat, Salih Günes. amc, 187(2):1017-1026, 2007. [doi]

A novel approach to estimation of E. coli promoter gene sequences: Combining feature selection and least square support vector machine (FS_LSSVM)Kemal Polat, Salih Günes. amc, 190(2):1574-1582, 2007. [doi]

Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machineKemal Polat, Salih Günes. amc, 186(1):898-906, 2007. [doi]

Medical decision support system based on artificial immune recognition immune system (AIRS), fuzzy weighted pre-processing and feature selectionKemal Polat, Salih Günes. eswa, 33(2):484-490, 2007. [doi]

An improved approach to medical data sets classification: artificial immune recognition system with fuzzy resource allocation mechanismKemal Polat, Salih Günes. es, 24(4):252-270, 2007. [doi]

A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosisKemal Polat, Seral Sahan, Salih Günes. eswa, 32(4):1141-1147, 2007. [doi]

A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRSKemal Polat, Salih Günes. cmpb, 88(2):164-174, 2007. [doi]

An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes diseaseKemal Polat, Salih Günes. dsp, 17(4):702-710, 2007. [doi]

A Hybrid Automated Detection System Based on Least Square Support Vector Machine Classifier and ::::k:::: -NN Based Weighted Pre-processing for Diagnosing of Macular DiseaseKemal Polat, Sadik Kara, Aysegül Güven, Salih Günes. icannga 2007: 338-345 [doi]

Artificial Immune Recognition System Based Classifier Ensemble on the Different Feature Subsets for Detecting the Cardiac Disorders from SPECT ImagesKemal Polat, Ramazan Sekerci, Salih Günes. DEXA 2007: 45-53 [doi]

A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosisSeral Sahan, Kemal Polat, Halife Kodaz, Salih Günes. cbm, 37(3):415-423, 2007. [doi]

A new medical decision making system: Least square support vector machine (LSSVM) with Fuzzy Weighting Pre-processingEmre Çomak, Kemal Polat, Salih Günes, Ahmet Arslan. eswa, 32(2):409-414, 2007. [doi]

A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosisSeral Özsen, Sadik Kara, Fatma Latifoglu, Salih Günes. cmpb, 88(3):246-255, 2007. [doi]

2006

Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processingKemal Polat, Salih Günes, Sulayman Tosun. PR, 39(11):2186-2193, 2006. [doi]

A hybrid medical decision making system based on principles component analysis, k-NN based weighted pre-processing and adaptive neuro-fuzzy inference systemKemal Polat, Salih Günes. dsp, 16(6):913-921, 2006. [doi]

The effect to diagnostic accuracy of decision tree classifier of fuzzy and k-NN based weighted pre-processing methods to diagnosis of erythemato-squamous diseasesKemal Polat, Salih Günes. dsp, 16(6):922-930, 2006. [doi]

A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmiaKemal Polat, Seral Sahan, Salih Günes. eswa, 31(2):264-269, 2006. [doi]

Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocationKemal Polat, Salih Günes. dsp, 16(6):889-901, 2006. [doi]

Automated identification of diseases related to lymph system from lymphography data using artificial immune recognition system with fuzzy resource allocation mechanism (fuzzy-AIRS)Kemal Polat, Salih Günes. bspc, 1(4):253-260, 2006. [doi]

A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis DiseaseKemal Polat, Sadik Kara, Fatma Latifoglu, Salih Günes. icaris 2006: 244-255 [doi]

2005

2004

A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS)Seral Sahan, Halife Kodaz, Salih Günes, Kemal Polat. iscis 2004: 11-20 [doi]

2001

Fault tolerant unicast routing algorithm based on parallel branching method for faulty hypercubeSalih Günes, Nihat Yilmaz, Ercan Yaldiz. icecsys 2001: 103-106 [doi]

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Salih Günes'

Viewing Publication 1 - 55 from 55

2016

2011

2010

2009

2008

2007

2006

2005

2004

2001

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by TagOR AND NOT 1

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Salih Günes'

Viewing Publication 1 - 55 from 55

2016

2011

2010

2009

2008

2007

2006

2005

2004

2001

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1