| Artificial algae algorithm (AAA) for nonlinear global optimization SA Uymaz, G Tezel, E Yel Applied Soft Computing 31, 153-171, 2015 | 290 | 2015 |
| A new method for classification of ECG arrhythmias using neural network with adaptive activation function Y Özbay, G Tezel Digital Signal Processing 20 (4), 1040-1049, 2010 | 130 | 2010 |
| Monthly evaporation forecasting using artificial neural networks and support vector machines G Tezel, M Buyukyildiz Theoretical and applied climatology 124 (1-2), 69-80, 2016 | 106 | 2016 |
| Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal Ş Yücelbaş, C Yücelbaş, G Tezel, S Özşen, Ş Yosunkaya Expert Systems with Applications 102, 193-206, 2018 | 103 | 2018 |
| Estimation of the change in lake water level by artificial intelligence methods M Buyukyildiz, G Tezel, V Yilmaz Water resources management 28 (13), 4747-4763, 2014 | 98 | 2014 |
| A genetic algorithm–support vector machine method with parameter optimization for selecting the tag SNPs İ İlhan, G Tezel Journal of biomedical informatics 46 (2), 328-340, 2013 | 76 | 2013 |
| Epilepsy diagnosis using artificial neural network learned by PSO N Yalcin, G Tezel, C Karakuzu Turkish Journal of Electrical Engineering & Computer Sciences 23 (2), 421-432, 2015 | 71 | 2015 |
| A new approach for epileptic seizure detection using adaptive neural network G Tezel Expert Systems with Applications 36 (1), 172-180, 2009 | 40 | 2009 |
| A new approach for epileptic seizure detection using adaptive neural network G Tezel Expert Systems with Applications 36 (1), 172-180, 2009 | 40 | 2009 |
| Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods C Yücelbaş, Ş Yücelbaş, S Özşen, G Tezel, S Küççüktürk, Ş Yosunkaya Neural Computing and Applications 29 (8), 17-33, 2018 | 38 | 2018 |
| Artificial algae algorithm with multi-light source for numerical optimization and applications SA Uymaz, G Tezel, E Yel Biosystems 138, 25-38, 2015 | 37 | 2015 |
| Pre-determination of OSA degree using morphological features of the ECG signal Ş Yücelbaş, C Yücelbaş, G Tezel, S Özşen, S Küççüktürk, Ş Yosunkaya Expert Systems with Applications 81, 79-87, 2017 | 33 | 2017 |
| A novel system for automatic detection of K-complexes in sleep EEG C Yücelbaş, Ş Yücelbaş, S Özşen, G Tezel, S Küççüktürk, Ş Yosunkaya Neural Computing and Applications 29 (8), 137-157, 2018 | 29 | 2018 |
| A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification M Dursun, S Özşen, C Yücelbaş, Ş Yücelbaş, G Tezel, S Küççüktürk, ... Neural Computing and Applications 28 (10), 3095-3112, 2017 | 27 | 2017 |
| Artificial neural network (Ann) model for domestic wastewater treatment plant control G Tezel, E Yel, RK Sinan BALWOIS-Ohrid, Republic of Macedonia–25, 2010 | 18 | 2010 |
| Effect of EEG time domain features on the classification of sleep stages S Yucelbas, S Ozsen, C Yucelbas, G Tezel, S Kuccukturk, S Yosunkaya Indian Journal of Science and Technology 9 (25), 2016 | 17 | 2016 |
| Detection of Sleep Spindles in Sleep EEG by using the PSD Methods C Yücelbas, S Yucelbas, S Ozsen, G Tezel, S Kuccukturk, S Yosunkaya Indian Journal of Science and Technology 9 (25), 2016 | 16 | 2016 |
| Yeni bir biyolojik ilhamlı metasezgisel optimizasyon metodu: Yapay alg algoritması SA Uymaz Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 2015 | 16 | 2015 |
| EEG Signals Classification Using a Hybrid Structure of ANN and PSO S a Arslan, G Tezel, H Islk International Journal of Future Computer and Communication 1 (2), 170, 2012 | 14 | 2012 |
| Detection of REM in Sleep EOG Signals A Coskun, S Ozsen, S Yucelbas, C Yucelbas, G Tezel, S Kuccukturk, ... Indian Journal of Science and Technology 9 (25), 2016 | 13 | 2016 |
