| EEG signal compression based on classified signature and envelope vector sets H Gürkan, U Guz, BS Yarman International Journal of Circuit Theory and Applications 37 (2), 351-363, 2009 | 37 | 2009 |
| A novel biometric authentication approach using electrocardiogram signals H Gürkan, U Guz, BS Yarman 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 31 | 2013 |
| On the comparative results of “SYMPES: A new method of speech modeling” BS Yarman, Ü Güz, H Gürkan AEU-International Journal of Electronics and Communications 60 (6), 421-427, 2006 | 29 | 2006 |
| Biometric identification using fingertip electrocardiogram signals G Guven, H Gürkan, U Guz Signal, Image and Video Processing 12 (5), 933-940, 2018 | 27 | 2018 |
| Modeling of electrocardiogram signals using predefined signature and envelope vector sets H Gürkan, Ü Güz, BS Yarman EURASIP Journal on Advances in Signal Processing 2007, 1-12, 2007 | 23 | 2007 |
| Effective semi-supervised learning strategies for automatic sentence segmentation D Dalva, U Guz, H Gurkan Pattern Recognition Letters 105, 76-86, 2018 | 22 | 2018 |
| Compression of ECG signals using variable-length classifıed vector sets and wavelet transforms H Gurkan EURASIP Journal on Advances in Signal Processing 2012, 1-17, 2012 | 20 | 2012 |
| Comparison of lipid profiles with APOA1 MspI polymorphism in obese children with hyperlipidemia B Toptas, U Görmüş, A Ergen, H Gürkan, F KELEŞOĞLU, F Darendeliler, ... in vivo 25 (3), 425-430, 2011 | 20 | 2011 |
| A new method to represent speech signals via predefined signature and envelope sequences Ü Güz, H Gürkan, BS Yarman EURASIP Journal on Advances in Signal Processing 2007, 1-17, 2006 | 19 | 2006 |
| ECG biometric identification method based on parallel 2-D convolutional neural networks A Hanilçi, H Gürkan Journal of Innovative Science and Engineering 3 (1), 11-22, 2019 | 18 | 2019 |
| A new modeling method of the ECG signals based on the use of an optimized predefined functional database BS Yarman, H Gürkan, Ü Güz, B Aygün Acta Cardiologica-An International Journal of Cardiology 58 (3), 59-61, 2003 | 18 | 2003 |
| A novel human identification system based on electrocardiogram features H Gurkan, U Guz, BS Yarman International Symposium on Signals, Circuits and Systems ISSCS2013, 1-4, 2013 | 14 | 2013 |
| A novel method to represent ECG signals via predefined personalized signature and envelope functions BS Yarman, H Gurkan, U Guz, B Aygun 2001 Conference Proceedings of the 23rd Annual International Conference of …, 2001 | 13 | 2001 |
| A novel method to represent the speech signals by using language and speaker independent predefined functions sets U Guz, H Gurkan, BS Yarman 2004 IEEE International Symposium on Circuits and Systems (ISCAS) 3, III-457, 2004 | 12 | 2004 |
| A novel representation method for electromyogram (EMG) signal with predefined signature and envelope functional bank H Gurkan, U Guz, BS Yarman 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No …, 2004 | 10 | 2004 |
| A new method to represent speech signals via predefined functional bases Ü Güz, BS Yarman, H Gürkan Proceedings of the IEEE European Conference on Circuit Theory and Design 2, 5-8, 2001 | 10 | 2001 |
| A novel biometric identification system based on fingertip electrocardiogram and speech signals G Guven, U Guz, H Gürkan Digital Signal Processing 121, 103306, 2022 | 8 | 2022 |
| Evrişimsel sinir ağı ve QRS imgeleri kullanarak EKG tabanlı biyometrik tanıma yöntemi H Gürkan, A Hanilçi Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 (2), 318-327, 2020 | 8 | 2020 |
| A new speech modeling method: SYMPES U Guz, H Gurkan, BS Yarman 2006 IEEE International Symposium on Circuits and Systems (ISCAS), 4 pp., 2006 | 7 | 2006 |
| ECG based biometric identification method using QRS images and convolutional neural network H Gurkan, A Hanilci Pamukkale University Journal of Engineering Sciences 26 (2), 318-327, 2020 | 6 | 2020 |
UMIT GUZIsik University, Engineering Faculty, Department of Electrical-Electronics EngineeringVerified email at isikun.edu.tr
