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ORCIDM. Erdem Isenkul
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2010 – 2019
- 2019
[j2]Cemal Okan Sakar
, Gorkem Serbes, Aysegul Günduz, Hünkar Can Tunç, Hatice Nizam, Betul Erdogdu Sakar, Melih Tutuncu, Tarkan Aydin, M. Erdem Isenkul, Hulya Apaydin:
A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform. Appl. Soft Comput. 74: 255-263 (2019)- 2017
- [d2]M. Erdem Isenkul, Betul Erdogdu Sakar:
Parkinson Disease Spiral Drawings Using Digitized Graphics Tablet. UCI Machine Learning Repository, 2017
- 2016
- [b1]M. Erdem Isenkul:
Korteks tabanlı imge gösterim kapasitelerinin uzamsal dönüşümler ve makine öğrenmesi yöntemleriyle ölçülmesi (Measuring capacity of cortex based image representations using spatial transformations and machine learning methods). İstanbul University, Turkey, 2016 - [c3]M. Erdem Isenkul:
A comparative performance analysis for the computer arithmetic based fast division algorithms. SIU 2016: 629-632 - 2015
- [c2]M. Erdem Isenkul, Olcay Kursun, Oleg V. Favorov:
Multiview classification tests using cortical Layer-4 image representation. SIU 2015: 2294-2297 - 2014
- [c1]M. Erdem Isenkul, Olcay Kursun, Oleg V. Favorov:
Methods for measuring the capacity of cortical Layer-4 representation. SIU 2014: 1650-1653 - [d1]Olcay Kursun, Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret S. Gürgen:
Parkinson Speech Dataset with Multiple Types of Sound Recordings. UCI Machine Learning Repository, 2014 - 2013
- [j1]Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret Gürgen, Sakir Delil, Hulya Apaydin, Olcay Kursun:
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings. IEEE J. Biomed. Health Informatics 17(4): 828-834 (2013)
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