Yassine Daadaa
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Formerly Arkansas Affiliated with University of Central Arkansas through 2024; recent publications list Imam Mohammad ibn Saud Islamic University.
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Yassine Daadaa's research focuses on the application of machine learning techniques to medical image analysis and biometric identification. His recent work includes the development of HDR-EfficientNet for classifying hypertensive and diabetic retinopathy, and Assist-Dermo, a lightweight vision transformer for multiclass skin lesion classification. Daadaa has also investigated biometric-based human identification using ensemble methods and electrocardiography (ECG) signals, as well as developing novel photoplethysmography (PPG)-based biometric authentication systems. His scholarship includes 22 publications with 176 citations and an h-index of 8. He collaborates with M. Emre Celebi at the University of Central Arkansas.
Metrics
- h-index: 8
- Publications: 22
- Citations: 176
Selected Publications
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Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder (2024)
Collaboration Network
Top Collaborators
- Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder
- Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder
- Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder
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