Kemal Polat
Kemal Polat
Professor, Electrical and Electronics Engineering, Abant Izzet Baysal University
ibu.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
K Polat, S Güneş
Applied Mathematics and Computation 187 (2), 1017-1026, 2007
5822007
An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease
K Polat, S Güneş
Digital Signal Processing 17 (4), 702-710, 2007
3562007
Breast cancer diagnosis using least square support vector machine
K Polat, S Güneş
Digital signal processing 17 (4), 694-701, 2007
3342007
A cascade learning system for classification of diabetes disease: Generalized discriminant analysis and least square support vector machine
K Polat, S Güneş, A Arslan
Expert systems with applications 34 (1), 482-487, 2008
3032008
A novel hybrid intelligent method based on C4. 5 decision tree classifier and one-against-all approach for multi-class classification problems
K Polat, S Güneş
Expert Systems with Applications 36 (2), 1587-1592, 2009
2812009
A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis
S Şahan, K Polat, H Kodaz, S Güneş
Computers in Biology and Medicine 37 (3), 415-423, 2007
1742007
Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting
S Güneş, K Polat, Ş Yosunkaya
Expert Systems with Applications 37 (12), 7922-7928, 2010
1532010
Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine
K Polat, S Güneş
Applied Mathematics and Computation 186 (1), 898-906, 2007
1402007
A new feature selection method on classification of medical datasets: Kernel F-score feature selection
K Polat, S Güneş
Expert Systems with Applications 36 (7), 10367-10373, 2009
1352009
A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia
K Polat, S Şahan, S Güneş
Expert systems with applications 31 (2), 264-269, 2006
1352006
A new hybrid intelligent system for accurate detection of Parkinson's disease
M Hariharan, K Polat, R Sindhu
Computer methods and programs in biomedicine 113 (3), 904-913, 2014
1282014
Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification …
K Polat, S Güneş
Expert Systems with Applications 34 (3), 2039-2048, 2008
1272008
Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k-nn (nearest neighbour) based weighting …
K Polat, S Şahan, S Güneş
Expert Systems with Applications 32 (2), 625-631, 2007
1192007
Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing
K Polat, S Güneş, S Tosun
Pattern Recognition 39 (11), 2186-2193, 2006
1132006
Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism
K Polat, S Şahan, H Kodaz, S Güneş
Expert Systems with Applications 32 (1), 172-183, 2007
1022007
A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis
K Polat, S Şahan, S Güneş
Expert Systems with Applications 32 (4), 1141-1147, 2007
962007
Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune …
F Latifoğlu, K Polat, S Kara, S Güneş
Journal of Biomedical Informatics 41 (1), 15-23, 2008
952008
A novel feature ranking algorithm for biometric recognition with PPG signals
AR Kavsaoğlu, K Polat, MR Bozkurt
Computers in biology and medicine 49, 1-14, 2014
912014
A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS
K Polat, S Güneş
Computer methods and programs in biomedicine 88 (2), 164-174, 2007
862007
Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering
K Polat
International Journal of Systems Science 43 (4), 597-609, 2012
832012
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20