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Salih Günes: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    CAIP, 2005, pp:81-87 [Conf]
  2. Seral Sahan, Kemal Polat, Halife Kodaz, Salih Günes
    The Medical Applications of Attribute Weighted Artificial Immune System (AWAIS): Diagnosis of Heart and Diabetes Diseases. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:456-468 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2006, pp:244-255 [Conf]
  4. Kemal Polat, Seral Sahan, Halife Kodaz, Salih Günes
    A New Classification Method for Breast Cancer Diagnosis: Feature Selection Artificial Immune Recognition System (FS-AIRS). [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:830-838 [Conf]
  5. Seral Sahan, Halife Kodaz, Salih Günes, Kemal Polat
    A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS). [Citation Graph (0, 0)][DBLP]
    ISCIS, 2004, pp:11-20 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:31, n:2, pp:264-269 [Journal]
  7. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:2, pp:625-631 [Journal]
  8. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:1, pp:172-183 [Journal]
  9. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:4, pp:1141-1147 [Journal]
  10. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:2, pp:409-414 [Journal]
  11. Kemal Polat, Salih Günes
    Medical decision support system based on artificial immune recognition immune system (AIRS), fuzzy weighted pre-processing and feature selection. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:2, pp:484-490 [Journal]
  12. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:3, pp:636-641 [Journal]
  13. 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. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:3, pp:786-793 [Journal]
  14. Kemal Polat, Salih Günes, Sulayman Tosun
    Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:11, pp:2186-2193 [Journal]
  15. 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. [Citation Graph (0, 0)][DBLP]
    Digital Signal Processing, 2006, v:16, n:6, pp:913-921 [Journal]
  16. 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. [Citation Graph (0, 0)][DBLP]
    Digital Signal Processing, 2006, v:16, n:6, pp:889-901 [Journal]
  17. 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. [Citation Graph (0, 0)][DBLP]
    Digital Signal Processing, 2006, v:16, n:6, pp:922-930 [Journal]
  18. 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. [Citation Graph (0, 0)][DBLP]
    DEXA, 2007, pp:45-53 [Conf]
  19. 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. [Citation Graph (0, 0)][DBLP]
    KES (1), 2007, pp:125-131 [Conf]
  20. 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. [Citation Graph (0, 0)][DBLP]
    ICANNGA (2), 2007, pp:338-345 [Conf]
  21. Kemal Polat, Salih Günes
    A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2007, v:88, n:2, pp:164-174 [Journal]

  22. New Data Pre-processing on Assessing of Obstructive Sleep Apnea Syndrome: Line Based Normalization Method (LBNM). [Citation Graph (, )][DBLP]


  23. Prediction of Aortic Diameter Values in Healthy Turkish Infants, Children and Adolescents Via Adaptive Network Based Fuzzy Inference System. [Citation Graph (, )][DBLP]


  24. Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals. [Citation Graph (, )][DBLP]


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