| Genetic optimization of GRNN for pattern recognition without feature extraction Ö Polat, T Yıldırım Expert Systems with Applications 34 (4), 2444-2448, 2008 | 78 | 2008 |
| Hand geometry identification without feature extraction by general regression neural network Ö Polat, T Yıldırım Expert systems with Applications 34 (2), 845-849, 2008 | 69 | 2008 |
| FPGA implementation of a General Regression Neural Network: An embedded pattern classification system Ö Polat, T Yıldırım Digital Signal Processing 20 (3), 881-886, 2010 | 49 | 2010 |
| Assessment of mental fatigue and stress on electronic sport players with data fusion S Gündoğdu, ÖH Çolak, EA Doğan, E Gülbetekin, Ö Polat Medical & Biological Engineering & Computing 59 (9), 1691-1707, 2021 | 28 | 2021 |
| Estimation and evaluation of sub-bands on LF and HF base-bands in HRV for Ventricular Tachyarrhythmia patients S Bilgin, OH Çolak, O Polat, E Koklukaya Expert Systems with Applications 36 (6), 10078-10084, 2009 | 23 | 2009 |
| Recovery of facial expressions using functional electrical stimulation after full-face transplantation Ç Topçu, H Uysal, Ö Özkan, Ö Özkan, Ö Polat, M Bedeloğlu, A Akgül, ... Journal of NeuroEngineering and Rehabilitation 15, 1-7, 2018 | 22 | 2018 |
| Determination of fatigue following maximal loaded treadmill exercise by using wavelet packet transform analysis and MLPNN from MMG-EMG data combinations G Bilgin, İE Hindistan, YG Özkaya, E Köklükaya, Ö Polat, ÖH Çolak Journal of medical systems 39, 1-10, 2015 | 20 | 2015 |
| Determination of sympathovagal balance in ventricular tachiarrythmia patients with implanted cardioverter defibrillators using wavelet transform and MLPNN S Bilgin, OH Çolak, O Polat, E Koklukaya Digital Signal Processing 19 (2), 330-339, 2009 | 17 | 2009 |
| Determination of a new VLF band in HRV for ventricular tachyarrhythmia patients S Bilgin, OH Çolak, O Polat, E Koklukaya Journal of medical systems 34, 155-160, 2010 | 16 | 2010 |
| GA-based optimization of SURF algorithm and realization based on Vivado-HLS H Ozdemir, R Sever, Ö Polat Traitement du Signal 36 (5), 2019 | 13 | 2019 |
| Image-based analysis of emotional facial expressions in full face transplants M Bedeloglu, Ç Topcu, A Akgul, EN Döger, R Sever, O Ozkan, O Ozkan, ... Journal of Medical Systems 42, 1-10, 2018 | 13 | 2018 |
| Assessment of emotional expressions after full-face transplantation Ç Topçu, H Uysal, Ö Özkan, Ö Özkan, Ö Polat, M Bedeloğlu, A Akgül, ... Neural Plasticity 2017, 2017 | 10 | 2017 |
| A robust regression based classifier with determination of optimal feature set Ö Polat Journal of applied research and technology 13 (4), 443-446, 2015 | 8 | 2015 |
| Object tracking by PI control and image processing on embedded systems T Öztürk, Y Albayrak, Ö Polat 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 7 | 2015 |
| Recognition of patterns without feature extraction by GRNN Ö Polat, T Yıldırım International Conference on Adaptive and Natural Computing Algorithms, 161-168, 2007 | 7 | 2007 |
| ID 382–Electrophysiological evaluation of emotional expressions in the facial transplantation patients H Uysal, Ç Topçu, Ö Özkan, Ö Özkan, E Barçın, A Akgül, M Bedeloğlu, ... Clinical Neurophysiology 127 (3), e127, 2016 | 6 | 2016 |
| Estimation of local SAR level using RBFNN in three‐layer cylindrical human model OH Colak, O Polat Microwave and Optical Technology Letters 50 (7), 1958-1961, 2008 | 6 | 2008 |
| Entropy analysis of surface EMG for classification of face movements Ç Topçu, A Akgül, M Bedeloğlu, EN Döğer, R Sever, Ö Özkan, Ö Özkan, ... 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 4 | 2015 |
| The impact of daubechies wavelet performances on ventricular tachyarrhythmia patients for determination of dominant frequency bands in HRV S Bilgin, O Polat, OH Colak 2009 14th National Biomedical Engineering Meeting, 1-4, 2009 | 4 | 2009 |
| Genetic optimizations for radial basis function and general regression neural networks G Yazıcı, Ö Polat, T Yıldırım Mexican International Conference on Artificial Intelligence, 348-356, 2006 | 4 | 2006 |
