| 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 | 891 | 2007 |
| Breast cancer diagnosis using least square support vector machine K Polat, S Güneş Digital signal processing 17 (4), 694-701, 2007 | 528 | 2007 |
| 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 | 520 | 2007 |
| 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 | 415 | 2008 |
| 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 | 366 | 2009 |
| A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization M Nour, Z Cömert, K Polat Applied Soft Computing 97, 106580, 2020 | 355 | 2020 |
| 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 | 273 | 2007 |
| 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 | 263 | 2010 |
| 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 | 252 | 2014 |
| 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 | 235 | 2009 |
| 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 | 198 | 2007 |
| 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 | 192 | 2008 |
| 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 | 191 | 2014 |
| 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 | 170 | 2007 |
| Attention based CNN model for fire detection and localization in real-world images S Majid, F Alenezi, S Masood, M Ahmad, ES Gündüz, K Polat Expert Systems with Applications 189, 116114, 2022 | 169 | 2022 |
| 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 | 155 | 2012 |
| 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 | 155 | 2006 |
| The effect of training and testing process on machine learning in biomedical datasets MK Uçar, M Nour, H Sindi, K Polat Mathematical Problems in Engineering 2020 (1), 2836236, 2020 | 152 | 2020 |
| 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 | 135 | 2006 |
| 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 | 131 | 2007 |
Majid NourKing Abdulaziz UniversityGeverifieerd e-mailadres voor kau.edu.sa
