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Journal of Affective Disorders
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October 19, 2020
Prediction of the development of depression and post-traumatic stress disorder in sexually abused children using a random forest classifier
Emel Sari Gokten, Caglar Uyulan
Biomedizinische Technik. Biomedical Engineering
|
June 3, 2024
Deep learning classification of EEG-based BCI monitoring of the attempted arm and hand movements
Sahar Taghi Zadeh Makouei, Caglar Uyulan
Biomedizinische Technik. Biomedical Engineering
|
March 9, 2019
Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification
Caglar Uyulan, Türker Tekin Ergüzel, Nevzat Tarhan
Clinical EEG and Neuroscience
|
October 25, 2025
Advanced Facial Expression Recognition Using Model Averaging Ensembles of Convolutional Neural Networks and CAM Analysis
Sahar Taghi Zadeh Makouei, Caglar Uyulan, 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 Data
Caglar Uyulan, Turker Tekin Erguzel, Omer Turk, et al.
Clinical EEG and Neuroscience
|
June 4, 2020
Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach
Caglar Uyulan, Türker Tekin Ergüzel, Huseyin Unubol, et al.
Clinical EEG and Neuroscience
|
June 3, 2021
Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning
Caglar Uyulan, Sara de la Salle, Turker T Erguzel, et al.
Clinical EEG and Neuroscience
|
February 12, 2020
Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls
Turker Tekin Erguzel, Caglar Uyulan, Baris Unsalver, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Journal of Affective Disorders
|
October 19, 2020
Prediction of the development of depression and post-traumatic stress disorder in sexually abused children using a random forest classifier
Emel Sari Gokten, Caglar Uyulan
Biomedizinische Technik. Biomedical Engineering
|
June 3, 2024
Deep learning classification of EEG-based BCI monitoring of the attempted arm and hand movements
Sahar Taghi Zadeh Makouei, Caglar Uyulan
Biomedizinische Technik. Biomedical Engineering
|
March 9, 2019
Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification
Caglar Uyulan, Türker Tekin Ergüzel, Nevzat Tarhan
Clinical EEG and Neuroscience
|
October 25, 2025
Advanced Facial Expression Recognition Using Model Averaging Ensembles of Convolutional Neural Networks and CAM Analysis
Sahar Taghi Zadeh Makouei, Caglar Uyulan, 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 Data
Caglar Uyulan, Turker Tekin Erguzel, Omer Turk, et al.
Clinical EEG and Neuroscience
|
June 4, 2020
Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach
Caglar Uyulan, Türker Tekin Ergüzel, Huseyin Unubol, et al.
Clinical EEG and Neuroscience
|
June 3, 2021
Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning
Caglar Uyulan, Sara de la Salle, Turker T Erguzel, et al.
Clinical EEG and Neuroscience
|
February 12, 2020
Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls
Turker Tekin Erguzel, Caglar Uyulan, Baris Unsalver, et al.
Page
of 1