Musa Peker

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 13

Top Topics

Classification Algorithm

Signal Detection

Feature Selection

Top Venues

J. Medical Syst.

Neural Comput. Appl.

Publications

Musa Peker
Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features. Expert Syst. Appl. 173 (2021)
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) (2020)
Ainuddin Faaeq, Huseyin Guruler, Musa Peker
Image classification using manifold learning based non-linear dimensionality reduction. SIU (2018)
Ismail Kirbas, Musa Peker
Signal detection based on empirical mode decomposition and Teager-Kaiser energy operator and its application to P and S wave arrival time detection in seismic signal analysis. Neural Comput. Appl. 28 (10) (2017)
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) (2016)
Musa Peker
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms. Neurocomputing 207 (2016)
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 (2016)
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) (2016)
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) (2015)
Huseyin Guruler, Musa Peker
A software tool for complex-valued neural network: CV-ANN. SIU (2015)
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) (2015)
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)
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)
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) (2014)