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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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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