Seral Özşen

发表

EYE: A New Method for Detection of Electrode Disconnection in Sleep Signals

Enes Efe, Seral Özşen, 2022, The European Journal of Research and Development.

Comparison of AIS and fuzzy c-means clustering methods on the classification of breast cancer and diabetes datasets

Seral Özşen, Rahime Ceylan, R. Ceylan, 2014 .

Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods

G. Tezel, Ş. Yosunkaya, Seral Özşen, 2016, Neural Computing and Applications.

Elimination of EMG artifacts from EEG signal in sleep staging

Sule Yücelbas, Cuneyt Yucelbas, Gülay Tezel, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

Use of Gaussian-Euclidean Hybrid Function Based Artificial Immune System for Breast Cancer Diagnosis

Gulay Tezel, Cuneyt Yucelbas, Seral Özşen, 2014 .

A new model to determine asymmetry coefficients on MR images using PSNR and SSIM

Seral Özşen, Muhammet Üsame Öziç, Seral Özşen, 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).

Identification of Apnea-Hypopnea Index Subgroups Based on Multifractal Detrended Fluctuation Analysis and Nasal Cannula Airflow Signals

Gülay Tezel, Serkan Küççüktürk, Fatma Z. Göğüş, 2020, Traitement du Signal.

Classification of sleep stages using class-dependent sequential feature selection and artificial neural network

Seral Özsen, Seral Özşen, 2012, Neural Computing and Applications.

Comparison of some spectral analysis methods in detection of sleep spindles using YSA

Sebnem Yosunkaya, Mehmet Dursun, Seral Özsen, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

A new denoising method for fMRI based on weighted three-dimensional wavelet transform

Seral Özsen, Güzin Özmen, Seral Özşen, 2017, Neural Computing and Applications.

Classification of Sleep Stages Using PSG Recording Signals

G. Tezel, H. Vatansev, Seral Özşen, 2020 .

NEW TRENDS IN DATA PRE-PROCESSING METHODS FOR SIGNAL AND IMAGE CLASSIFICATION Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods

Sule Yücelbas, Cuneyt Yucelbas, Gülay Tezel, 2016 .

A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis

Fatma Latifoglu, Sadik Kara, Seral Özsen, 2007, Comput. Methods Programs Biomed..

Comparison Global Brain Volume Ratios on Alzheimer’s Disease Using 3D T1 Weighted MR Images

Muhammet Üsame Öziç, Seral Özsen, Seral Özşen, 2020 .

A new denoising method for fMRI based on weighted three-dimensional wavelet transform

Seral Özşen, Güzin Özmen, 2017, Neural Computing and Applications.

Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal

Sule Yücelbas, Cuneyt Yucelbas, Gülay Tezel, 2018, Expert Syst. Appl..

Quantitative evaluation of the cerebellum in patients with depression and healthy adults by VolBrain method

Y. Paksoy, Seral Özşen, Güzin Özmen, 2021, Anatomy.

Voxel based morphometric analysis on MR images

Muhammet Üsame Öziç, A. Ekmekci, Seral Özşen, 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).

CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets

Enes Efe, Seral Özşen, S. Ozsen, 2023, Biomed. Signal Process. Control..

A New Approach for Automatic Sleep Staging: Siamese Neural Networks

Seral Özsen, Enes Efe, Enes Efe, 2021, Traitement du Signal.

Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method

Y. Paksoy, Seral Özşen, R. Tekdemir, 2023, Multim. Tools Appl..

Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems

Fatma Latifoglu, Sadik Kara, Seral Özsen, 2009, IEEE Transactions on Information Technology in Biomedicine.

Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizer

Seral Özsen, Salih Günes, S. Günes, 2008, Digit. Signal Process..

Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problems

Seral Özsen, Salih Günes, S. Günes, 2009, Expert Syst. Appl..

Automatic Sleep Stage Classification for the Obstructive Sleep Apnea Patients with Feature Mining

G. Tezel, H. Vatansev, Seral Özşen, 2023, Journal of Biomimetics, Biomaterials and Biomedical Engineering.

On the evolution of ellipsoidal recognition regions in Artificial Immune Systems

Cuneyt Yucelbas, Seral Özsen, Seral Özşen, 2015, Appl. Soft Comput..

Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease

Halife Kodaz, Ahmet Arslan, Seral Özsen, 2009, Expert Syst. Appl..

Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals

G. Tezel, Ş. Yosunkaya, Seral Özşen, 2024, Biomed. Signal Process. Control..

Pre-determination of OSA degree using morphological features of the ECG signal

Sule Yücelbas, Cuneyt Yucelbas, Gülay Tezel, 2017, Expert Syst. Appl..

A novel system for automatic detection of K-complexes in sleep EEG

Sule Yücelbas, Cuneyt Yucelbas, Gülay Tezel, 2017, Neural Computing and Applications.

DETERMINING THE MOST POWERFUL FEATURES IN THE DESIGN OF AN AUTOMATIC SLEEP STAGING SYSTEM

G. Tezel, H. Vatansev, Seral Özşen, 2023, Konya Journal of Engineering Sciences.