| A new design method for the complex-valued multistate Hopfield associative memory MK Muezzinoglu, C Guzelis, JM Zurada IEEE Transactions on Neural Networks 14 (4), 891-899, 2003 | 264 | 2003 |
| Analysis of input-output clustering for determining centers of RBFN Z Uykan, C Guzelis, ME Celebi, HN Koivo IEEE transactions on neural networks 11 (4), 851-858, 2000 | 216 | 2000 |
| Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks N Acir, I Oztura, M Kuntalp, B Baklan, C Guzelis IEEE Transactions on Biomedical Engineering 52 (1), 30-40, 2004 | 207 | 2004 |
| Object recognition and detection with deep learning for autonomous driving applications A Uçar, Y Demir, C Güzeliş Simulation 93 (9), 759-769, 2017 | 200 | 2017 |
| A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering A Uçar, Y Demir, C Güzeliş Neural Computing and Applications 27, 131-142, 2016 | 159 | 2016 |
| Automatic spike detection in EEG by a two-stage procedure based on support vector machines N Acır, C Güzeliş Computers in Biology and Medicine 34 (7), 561-575, 2004 | 120 | 2004 |
| Stability analysis of generalized cellular neural networks C Guzelis, LO Chua International Journal of Circuit Theory and Applications 21 (1), 1-33, 1993 | 115 | 1993 |
| Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation MA Selver, A Kocaoğlu, GK Demir, H Doğan, O Dicle, C Güzeliş Computers in Biology and Medicine 38 (7), 765-784, 2008 | 107 | 2008 |
| Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection N Acır, Ö Özdamar, C Güzeliş Engineering Applications of Artificial Intelligence 19 (2), 209-218, 2006 | 91 | 2006 |
| Automatic recognition of sleep spindles in EEG by using artificial neural networks N Acır, C Güzeliş Expert Systems with Applications 27 (3), 451-458, 2004 | 88 | 2004 |
| Real-time simulation technologies: principles, methodologies, and applications K Popovici, PJ Mosterman CRC Press, 2012 | 81 | 2012 |
| A canonical representation for piecewise-affine maps and its applications to circuit analysis C Guzelis, IC Goknar IEEE Transactions on Circuits and Systems 38 (11), 1342-1354, 1991 | 75 | 1991 |
| A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test GB Kaplan, NS Şengör, H Gürvit, I Genç, C Güzeliş Neural Networks 19 (4), 375-387, 2006 | 69 | 2006 |
| Semiautomatic transfer function initialization for abdominal visualization using self-generating hierarchical radial basis function networks MA Selver, C Guzelis IEEE Transactions on Visualization and Computer Graphics 15 (3), 395-409, 2009 | 60 | 2009 |
| Recurrent perceptron learning algorithm for completely stable cellular neural networks C Guzelis, S Karamahmut Proceedings of the Third IEEE International Workshop on Cellular Neural …, 1994 | 53 | 1994 |
| An experience on problem based learning in an engineering faculty C Güzeliş Turkish Journal of Electrical Engineering and Computer Sciences 14 (1), 67-76, 2006 | 46 | 2006 |
| Moving towards in object recognition with deep learning for autonomous driving applications A Uçar, Y Demir, C Güzeliş 2016 International Symposium on INnovations in Intelligent SysTems and …, 2016 | 38 | 2016 |
| “Chaotification” of real systems by dynamic state feedback S Şahin, C Güzelis IEEE Antennas and Propagation Magazine 52 (6), 222-233, 2010 | 36 | 2010 |
| Modelling the Stroop effect: A connectionist approach GB Kaplan, NS Şengör, H Gürvit, C Güzeliş Neurocomputing 70 (7-9), 1414-1423, 2007 | 35 | 2007 |
| A multiscale algorithm for joint forecasting–scheduling to solve the massive access problem of IoT V Rodoplu, M Nakıp, DT Eliiyi, C Güzeliş IEEE Internet of Things Journal 7 (9), 8572-8589, 2020 | 32 | 2020 |
Ayşegül UçarFirat University在 firat.edu.tr 的电子邮件经过验证
