Seral Özsen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 14

Top Topics

Morphological Features

Top Venues

Neural Comput. Appl.

Traitement du Signal

Biomed. Signal Process. Control.

Publications

Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Sebnem Yosunkaya
Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals. Biomed. Signal Process. Control. 88 (Part B) (2024)
Güzin Özmen, Seral Özsen, Yahya Paksoy, Özkan Güler, Rukiye Tekdemir
Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method. Multim. Tools Appl. 83 (4) (2024)
Enes Efe, Seral Özsen
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets. Biomed. Signal Process. Control. 80 (Part) (2023)
Enes Efe, Seral Özsen
A New Approach for Automatic Sleep Staging: Siamese Neural Networks. Traitement du Signal 38 (5) (2021)
Fatma Zehra Gögüs, Gülay Tezel, Seral Özsen, Serkan Küççüktürk, Hülya Vatansev, Yasin Koca
Identification of Apnea-Hypopnea Index Subgroups Based on Multifractal Detrended Fluctuation Analysis and Nasal Cannula Airflow Signals. Traitement du Signal 37 (2) (2020)
Güzin Özmen, Seral Özsen
A new denoising method for fMRI based on weighted three-dimensional wavelet transform. Neural Comput. Appl. 29 (8) (2018)
Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya
A novel system for automatic detection of K-complexes in sleep EEG. Neural Comput. Appl. 29 (8) (2018)
Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya
Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods. Neural Comput. Appl. 29 (8) (2018)
Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Sebnem Yosunkaya
Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal. Expert Syst. Appl. 102 (2018)
Cüneyt Yücelbas, Sule Yücelbas, Seral Özsen, Gülay Tezel, Sebnem Yosunkaya
Effect of the Hilbert-Huang transform method on sleep staging. SIU (2017)
Mehmet Dursun, Seral Özsen, Cüneyt Yücelbas, Sule Yücelbas, Gülay Tezel, Serkan Küççüktürk, Sebnem Yosunkaya
A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification. Neural Comput. Appl. 28 (10) (2017)
Sule Yücelbas, Cüneyt Yücelbas, Gülay Tezel, Seral Özsen, Serkan Küççüktürk, Sebnem Yosunkaya
Pre-determination of OSA degree using morphological features of the ECG signal. Expert Syst. Appl. 81 (2017)
Muhammet Üsame Öziç, Seral Özsen
T-test feature ranking based 3D MR classification with VBM mask. SIU (2017)
Seral Özsen, Cüneyt Yücelbas, Sule Yücelbas, Gülay Tezel, Sebnem Yosunkaya, Serkan Küççüktürk
Elimination of EMG artifacts from EEG signal in sleep staging. SIU (2016)
Cüneyt Yücelbas, Seral Özsen, Sule Yücelbas, Gülay Tezel, Mehmet Dursun, Sebnem Yosunkaya, Serkan Küççüktürk
Detection of the electrode disconnection in sleep signals. SIU (2015)
Seral Özsen, Mehmet Dursun, Sebnem Yosunkaya
Comparison of some spectral analysis methods in detection of sleep spindles using YSA. SIU (2015)
Seral Özsen, Cüneyt Yücelbas
On the evolution of ellipsoidal recognition regions in Artificial Immune Systems. Appl. Soft Comput. 31 (2015)
Seral Özsen
Classification of sleep stages using class-dependent sequential feature selection and artificial neural network. Neural Comput. Appl. 23 (5) (2013)
Seral Özsen, Salih Günes, Sadik Kara, Fatma Latifoglu
Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems. IEEE Trans. Inf. Technol. Biomed. 13 (4) (2009)
Halife Kodaz, Seral Özsen, Ahmet Arslan, Salih Günes
Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease. Expert Syst. Appl. 36 (2) (2009)
Seral Özsen, Salih Günes
Attribute weighting via genetic algorithms for attribute weighted artificial immune system (AWAIS) and its application to heart disease and liver disorders problems. Expert Syst. Appl. 36 (1) (2009)
Seral Özsen, Salih Günes
Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizer. Digit. Signal Process. 18 (4) (2008)
Seral Özsen, Sadik Kara, Fatma Latifoglu, Salih Günes
A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis. Comput. Methods Programs Biomed. 88 (3) (2007)