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)

EEG sinyallerinden anomali tespiti (Anomaly detection in EEG signals) - Musa Peker (2014)

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 (INISTA, 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 (INISTA, 2015)

A software tool for complex-valued neural network: CV-ANN. - Huseyin Guruler; Musa Peker (SIU, 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)

Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks. - Musa Peker; Baha Sen; Hüseyin Gürüler (J. Medical Syst., 2015)

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)

An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms. - Musa Peker (Neurocomputing, 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)

A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued Classifiers. - Musa Peker; Baha Sen; Dursun Delen (IEEE J. Biomed. Health Informatics, 2016)

Image classification using manifold learning based non-linear dimensionality reduction. - Ainuddin Faaeq; Huseyin Guruler; Musa Peker (SIU, 2018)

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)

Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features. - Musa Peker (Expert Syst. Appl., 2021)