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Turker Tekin Erguzel

Showing results (1-10 of 11) with videos related to

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Computers in Biology and Medicine|July 13, 2015
A wrapper-based approach for feature selection and classification of major depressive disorder-bipolar disordersTurker Tekin Erguzel, Cumhur Tas, Merve Cebi
Psychiatry Investigation|August 12, 2014
Ant Colony Optimization Based Feature Selection Method for QEEG Data ClassificationTurker Tekin Erguzel, Serhat Ozekes, Selahattin Gultekin, et al.
Clinical EEG and Neuroscience|April 16, 2014
Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based ApproachTurker Tekin Erguzel, Serhat Ozekes, Oguz Tan, et al.
Clinical EEG and Neuroscience|October 25, 2025
Advanced Facial Expression Recognition Using Model Averaging Ensembles of Convolutional Neural Networks and CAM AnalysisSahar Taghi Zadeh Makouei, Caglar Uyulan, Turker Tekin Erguzel, et al.
Journal of Biological Physics|July 4, 2018
Radiation shielding parameters of some antioxidants using Monte Carlo methodHuseyin Ozan Tekin, Mesut Karahan, Turker Tekin Erguzel, et al.
Clinical EEG and Neuroscience|September 2, 2022
A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI DataCaglar Uyulan, Turker Tekin Erguzel, Omer Turk, et al.
Psychiatry Investigation|February 12, 2015
Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG CordanceTurker Tekin Erguzel, Serhat Ozekes, Selahattin Gultekin, et al.
Clinical EEG and Neuroscience|October 5, 2019
Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive DisorderSinem Zeynep Metin, Tugçe Balli Altuglu, Baris Metin, et al.
Clinical EEG and Neuroscience|January 16, 2019
Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power MeasuresTurker Tekin Erguzel, Cemal Onur Noyan, Gul Eryilmaz, et al.
Clinical EEG and Neuroscience|December 30, 2017
The Use of Quantitative EEG for Differentiating Frontotemporal Dementia From Late-Onset Bipolar DisorderSinem Zeynep Metin, Turker Tekin Erguzel, Gulhan Ertan, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|July 13, 2015
A wrapper-based approach for feature selection and classification of major depressive disorder-bipolar disordersTurker Tekin Erguzel, Cumhur Tas, Merve Cebi
Psychiatry Investigation|August 12, 2014
Ant Colony Optimization Based Feature Selection Method for QEEG Data ClassificationTurker Tekin Erguzel, Serhat Ozekes, Selahattin Gultekin, et al.
Clinical EEG and Neuroscience|April 16, 2014
Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based ApproachTurker Tekin Erguzel, Serhat Ozekes, Oguz Tan, et al.
Clinical EEG and Neuroscience|October 25, 2025
Advanced Facial Expression Recognition Using Model Averaging Ensembles of Convolutional Neural Networks and CAM AnalysisSahar Taghi Zadeh Makouei, Caglar Uyulan, Turker Tekin Erguzel, et al.
Journal of Biological Physics|July 4, 2018
Radiation shielding parameters of some antioxidants using Monte Carlo methodHuseyin Ozan Tekin, Mesut Karahan, Turker Tekin Erguzel, et al.
Clinical EEG and Neuroscience|September 2, 2022
A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI DataCaglar Uyulan, Turker Tekin Erguzel, Omer Turk, et al.
Psychiatry Investigation|February 12, 2015
Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG CordanceTurker Tekin Erguzel, Serhat Ozekes, Selahattin Gultekin, et al.
Clinical EEG and Neuroscience|October 5, 2019
Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive DisorderSinem Zeynep Metin, Tugçe Balli Altuglu, Baris Metin, et al.
Clinical EEG and Neuroscience|January 16, 2019
Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power MeasuresTurker Tekin Erguzel, Cemal Onur Noyan, Gul Eryilmaz, et al.
Clinical EEG and Neuroscience|December 30, 2017
The Use of Quantitative EEG for Differentiating Frontotemporal Dementia From Late-Onset Bipolar DisorderSinem Zeynep Metin, Turker Tekin Erguzel, Gulhan Ertan, et al.
Pageof 2