| 2008 |
|---|
| 32 | EE | Kemal Polat,
Salih Günes:
A novel data reduction method: Distance based data reduction and its application to classification of epileptiform EEG signals.
Applied Mathematics and Computation 200(1): 10-27 (2008) |
| 31 | EE | 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.
Artificial Intelligence in Medicine 43(2): 141-149 (2008) |
| 30 | EE | Kemal Polat,
Sadik Kara,
Aysegül Güven,
Salih Günes:
Utilization of Discretization method on the diagnosis of optic nerve disease.
Computer Methods and Programs in Biomedicine 91(3): 255-264 (2008) |
| 29 | EE | 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) |
| 28 | EE | 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) |
| 27 | EE | 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) |
| 26 | EE | 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) |
| 25 | EE | 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).
Journal of Biomedical Informatics 41(1): 15-23 (2008) |
| 2007 |
|---|
| 24 | EE | 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 |
| 23 | EE | 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 |
| 22 | EE | 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 |
| 21 | EE | 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.
Applied Mathematics and Computation 186(1): 898-906 (2007) |
| 20 | EE | Kemal Polat,
Salih Günes:
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform.
Applied Mathematics and Computation 187(2): 1017-1026 (2007) |
| 19 | EE | Kemal Polat,
Salih Günes:
Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system.
Applied Mathematics and Computation 189(2): 1282-1291 (2007) |
| 18 | EE | 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).
Applied Mathematics and Computation 190(2): 1574-1582 (2007) |
| 17 | EE | Kemal Polat,
Salih Günes:
A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS.
Computer Methods and Programs in Biomedicine 88(2): 164-174 (2007) |
| 16 | EE | 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) |
| 15 | EE | 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) |
| 14 | EE | 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) |
| 13 | EE | 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) |
| 12 | EE | 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) |
| 11 | EE | 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) |
| 2006 |
|---|
| 10 | EE | 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 |
| 9 | EE | 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.
Digital Signal Processing 16(6): 889-901 (2006) |
| 8 | EE | 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.
Digital Signal Processing 16(6): 913-921 (2006) |
| 7 | EE | 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.
Digital Signal Processing 16(6): 922-930 (2006) |
| 6 | EE | 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) |
| 5 | EE | Kemal Polat,
Salih Günes,
Sulayman Tosun:
Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing.
Pattern Recognition 39(11): 2186-2193 (2006) |
| 2005 |
|---|
| 4 | EE | 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 |
| 3 | EE | 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 |
| 2 | EE | 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 |
|---|
| 1 | EE | Seral Sahan,
Halife Kodaz,
Salih Günes,
Kemal Polat:
A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS).
ISCIS 2004: 11-20 |
