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Books and Theses
- 2014
[b1]Musa Peker:
EEG sinyallerinden anomali tespiti (Anomaly detection in EEG signals). Karabük University, Turkey, 2014
Journal Articles
- 2021
- [j9]Musa Peker:
Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features. Expert Syst. Appl. 173: 114708 (2021) - 2020
- [j8]Pinar Ozkan-Bakbak, Musa Peker
:
Classification of sonar echo signals in their reduced sparse forms using complex-valued wavelet neural network. Neural Comput. Appl. 32(7): 2231-2241 (2020) - 2016
- [j7]Musa Peker:
A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform. Comput. Methods Programs Biomed. 129: 203-216 (2016) - [j6]Musa Peker:
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms. Neurocomputing 207: 165-177 (2016) - [j5]Musa Peker:
A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM. J. Medical Syst. 40(5): 116:1-116:16 (2016) - [j4]Musa Peker, Baha Sen, Dursun Delen:
A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers. IEEE J. Biomed. Health Informatics 20(1): 108-118 (2016) - 2015
- [j3]Mustafa Coskun, Hüseyin Gürüler, Ayhan Istanbullu, Musa Peker:
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network. J. Medical Syst. 39(1): 173 (2015) - [j2]Musa Peker, Baha Sen, Hüseyin Gürüler:
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks. J. Medical Syst. 39(2): 18 (2015) - 2014
- [j1]Baha Sen, Musa Peker, Abdullah Çavusoglu, Fatih V. Celebi:
A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms. J. Medical Syst. 38(3): 18 (2014)
Conference and Workshop Papers
- 2018
- [c4]Ainuddin Faaeq, Huseyin Guruler, Musa Peker:
Image classification using manifold learning based non-linear dimensionality reduction. SIU 2018: 1-4 - 2015
- [c3]Ayse Arslan, Baha Sen, Fatih V. Celebi, Musa Peker, Abdulkadir But:
A comparison of different classification algorithms for determining the depth of anesthesia level on a new set of attributes. INISTA 2015: 1-7 - [c2]Musa Peker, Ayse Arslan, Baha Sen, Fatih V. Celebi, Abdulkadir But:
A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF). INISTA 2015: 1-8 - [c1]Huseyin Guruler, Musa Peker:
A software tool for complex-valued neural network: CV-ANN. SIU 2015: 2054-2057
Coauthor Index
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