Seral Özsen

Orcid: 0000-0001-5332-8665

According to our database1, Seral Özsen authored at least 23 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Identification of full-night sleep parameters using morphological features of ECG signals: A practical alternative to EEG and EOG signals.
Biomed. Signal Process. Control., February, 2024

Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method.
Multim. Tools Appl., January, 2024

2023
CoSleepNet: Automated sleep staging using a hybrid CNN-LSTM network on imbalanced EEG-EOG datasets.
Biomed. Signal Process. Control., 2023

2021
A New Approach for Automatic Sleep Staging: Siamese Neural Networks.
Traitement du Signal, 2021

2020
Identification of Apnea-Hypopnea Index Subgroups Based on Multifractal Detrended Fluctuation Analysis and Nasal Cannula Airflow Signals.
Traitement du Signal, 2020

2018
A novel system for automatic detection of K-complexes in sleep EEG.
Neural Comput. Appl., 2018

Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods.
Neural Comput. Appl., 2018

A new denoising method for fMRI based on weighted three-dimensional wavelet transform.
Neural Comput. Appl., 2018

Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal.
Expert Syst. Appl., 2018

2017
A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification.
Neural Comput. Appl., 2017

Pre-determination of OSA degree using morphological features of the ECG signal.
Expert Syst. Appl., 2017

Effect of the Hilbert-Huang transform method on sleep staging.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

T-test feature ranking based 3D MR classification with VBM mask.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Elimination of EMG artifacts from EEG signal in sleep staging.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
On the evolution of ellipsoidal recognition regions in Artificial Immune Systems.
Appl. Soft Comput., 2015

Detection of the electrode disconnection in sleep signals.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Comparison of some spectral analysis methods in detection of sleep spindles using YSA.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2013
Classification of sleep stages using class-dependent sequential feature selection and artificial neural network.
Neural Comput. Appl., 2013

2009
Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification Problems.
IEEE Trans. Inf. Technol. Biomed., 2009

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., 2009

Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease.
Expert Syst. Appl., 2009

2008
Effect of feature-type in selecting distance measure for an artificial immune system as a pattern recognizer.
Digit. Signal Process., 2008

2007
A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis.
Comput. Methods Programs Biomed., 2007


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