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Sherif Barakat
Also published under:Sherif I. Barakat
Affiliation
Department of Information Systems, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt
Topic
Ant Colony Optimization,Benchmark Datasets,Canis Lupus,Color Fundus Images,Computer-aided Diagnosis,Convolutional Neural Network,Diabetic Retinopathy Grading,Dice Similarity Coefficient,Fundus Images,Grey Wolf Optimization Algorithm,Grey Wolf Optimizer,Logistic Map,Medical Image Analysis,Mentors,Multi-label,Non-proliferative Diabetic Retinopathy,Object Properties,Optical Coherence Tomography Angiography,Optimization Algorithm,Particle Swarm Optimization,SPARQL Query,Support Vector Machine,Adaptive Histogram Equalization,Adaptive Neuro-fuzzy Inference System,Adaptive System,Alzheimer’s Disease,Alzheimer’s Disease Neuroimaging Initiative,Alzheimer’s Disease Patients,Alzheimer’s Disease Subjects,Ant Colony Optimization Algorithm,Artificial Neural Network,Bifurcation Point,CSV File,Choice Of Features,Classification Accuracy,Clinical Decision Support Systems,Clinical Model,Cloud Layer,Computation Time,Computer-aided Diagnosis System,Continuous Vector,Convolutional Layers,Convolutional Neural Network Model,Data Format,Data Mining,Data Model,Data Pre-processing,Dataset Characteristics,Deep Convolutional Neural Network,Deep Learning,
Biography
Sherif Barakat received the B.Sc. and M.Sc. degrees from the Faculty of Science, Mansoura University, Mansoura, Egypt, and the Ph.D. degree from the Faculty of Science, Helwan University, Helwan, Egypt, in 2003. He is currently a Professor with the Department of Information Systems, Faculty of Computers and Information, Mansoura University. He has authored or coauthored over 50 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. His current research interests include machine learning, pattern recognition, and artificial intelligence.