Musa Peker

According to our database, Musa Peker authored at least 14 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features.

Musa Peker

Expert Syst. Appl., 2021

2020

Classification of sonar echo signals in their reduced sparse forms using complex-valued wavelet neural network.

Pinar Ozkan-Bakbak, Musa Peker

Neural Comput. Appl., 2020

2018

Image classification using manifold learning based non-linear dimensionality reduction.

Ainuddin Faaeq, Huseyin Guruler, Musa Peker

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2016

A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers.

Musa Peker, Baha Sen, Dursun Delen

IEEE J. Biomed. Health Informatics, 2016

A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.

Musa Peker

J. Medical Syst., 2016

An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms.

Musa Peker

Neurocomputing, 2016

A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform.

Musa Peker

Comput. Methods Programs Biomed., 2016

2015

Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks.

Musa Peker, Baha Sen, Hüseyin Gürüler

J. Medical Syst., 2015

Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network.

Mustafa Coskun, Hüseyin Gürüler, Ayhan Istanbullu, Musa Peker

J. Medical Syst., 2015

A software tool for complex-valued neural network: CV-ANN.

Huseyin Guruler, Musa Peker

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF).

Musa Peker, Ayse Arslan, Baha Sen, Fatih V. Celebi, Abdulkadir But

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

A comparison of different classification algorithms for determining the depth of anesthesia level on a new set of attributes.

Ayse Arslan, Baha Sen, Fatih V. Celebi, Musa Peker, Abdulkadir But

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

2014

EEG sinyallerinden anomali tespiti (Anomaly detection in EEG signals)

Musa Peker

PhD thesis, 2014

A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms.

Baha Sen, Musa Peker, Abdullah Çavusoglu, Fatih V. Celebi

J. Medical Syst., 2014