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M. Erdal Özbek
M. Erdal Özbek
Dept. of Electrical and Electronics Engineering, İzmir Kâtip Çelebi University
Verified email at ikcu.edu.tr
Title
Cited by
Cited by
Year
Klasik Türk Müziği kayıtlarının otomatik olarak notaya dökülmesi ve otomatik makam tanıma
B Bozkurt, FA Savacı, MK Karaosmanoğlu
182010
Musical note and instrument classification with likelihood-frequency-time analysis and support vector machines
ME Özbek, C Delpha, P Duhamel
European Signal Processing Conference (EUSIPCO), 941-945, 2007
172007
Wavelet ridges for musical instrument classification
ME Özbek, N Özkurt, FA Savacı
Journal of Intelligent Information Systems 38 (1), 241-256, 2012
142012
Correntropy function for fundamental frequency determination of musical instrument samples
ME Özbek, FA Savacı
Expert Systems with Applications 38 (8), 10025-10030, 2011
52011
Music instrument classification using generalized Gaussian density modeling
ME Ozbek, FA Savaci
IEEE 15th Signal Processing and Communications Applications, 1-4, 2007
5*2007
Dalgacık Tepeleri ve Destek Vektör Makineleri ile Müzik Çalgısı Sınıflandırma
ME Özbek, N Özkurt, FA Savacı
ELECO (ELEKTRİK - ELEKTRONİK - BİLGİSAYAR MÜHENDİSLİĞİ SEMPOZYUMU), 236-240, 2006
52006
Classification Performance Improvement of Keystroke Data
ME ÖZBEK
2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2019
42019
Recognition of biometric unlock pattern by GMM-UBM
ME Özbek, MA Haytom, E Cherrier
2018 26th Signal Processing and Communications Applications Conference (SIU …, 2018
42018
Skewed alpha-stable distributions for modeling and classification of musical instruments
ME OZBEK, CEK Mehmet Emre, FA SAVACI
Turk J Elec Eng & Comp Sci 20 (6), 934-947, 2012
32012
Separation of musical instruments using correntropy
ME Ozbek, FA Savaci
IEEE 16th Signal Processing, Communication and Applications Conference, 1-4, 2008
3*2008
Optical routing in packet switched networks
M Özbek
PQDT-Global, 2001
32001
Determining the number of sources with diagonal unloading in single-channel mixtures
ME Özbek
Circuits, Systems, and Signal Processing 40 (11), 5483-5499, 2021
22021
A Flower Status Tracker and Self Irrigation System (FloTIS)
R KESKİN, F GÜNEY, ME ÖZBEK
Journal of Artificial Intelligence and Data Science 1 (1), 45-52, 2021
22021
Deep learning based smoke detection for foggy environments
UE Yıldız, ME Özbek
2020 12th International Conference on Electrical and Electronics Engineering …, 2020
22020
Image enhancement using fuzzy c-means clustering based on local population balance modeling
N Duran, M Çatak, ME Özbek
IEEE 21st Signal Processing and Communications Applications Conference, 1-4, 2013
22013
Smoke detection from foggy environment based on color spaces
ME Özbek, UE Yıldız
International Journal of Applied Mathematics Electronics and Computers 9 (3 …, 2021
12021
A Face Authentication System Using Landmark Detection
V ERCAN, ME ÖZBEK
Journal of Artificial Intelligence and Data Science 1 (1), 28-34, 2021
12021
Classification of musical instruments with entropy based features
ME Ozbek
IEEE 19th Conference on Signal Processing and Communications Applications …, 2011
12011
Fundamental frequency tracking of musical signals with correntropy
ME Ozbek, FA Savaci
IEEE 17th Signal Processing and Communications Applications Conference, 161-164, 2009
1*2009
Representations of musical instrument sounds for classification and separation
ME Özbek
PQDT-Global, 2009
12009
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