Mahmoud is a PhD researcher in machine learning. He also holds a
bachelor's degree in physical science and a master's degree in
telecommunications and networking systems. His current areas of
research concern computer vision, stock market prediction and deep
learning. He produced several scientific articles about person re-
identification and the study of the robustness and stability of deep
networks.
Person Re-Id Attributes or Person Attribute Recognition (PAR) identifies and classifies attributes of people in images or videos. PAR is important in video surveillance,...
Artificial intelligence language models are computer programs that use machine learning algorithms to analyze and understand human language. These models are designed to automatically...
Data generation (DG) refers to creating or producing new data. This can be done through various means, such as collecting data from sources, conducting...
In today's world, where data plays an increasingly crucial role in decision-making, businesses must invest in the necessary resources and expertise to meet the...
Person re-identification (Re-ID) is an image retrieval task that identifies a specific person in different images or video sequences. However, leaking information from the...
Unsupervised representation learning in person re-identification (ReID) is a task in computer vision that aims to identify a specific person across different camera views...
Machine learning (ML) models have become increasingly popular, but with this popularity comes a growing concern about the leakage of information about training data....
Differential privacy is a technique for protecting the privacy of individuals when their data, such as personal information or medical records, is used for...
Credit scoring models are crucial in assessing and managing credit risk within financial institutions. However, it is limited due to challenges in obtaining data...
Machine learning models are used in various applications such as image and speech recognition, natural language processing, and predictive modeling. However, the security and...
Deep learning has significantly advanced face recognition models based on convolutional neural networks. These models have a high accuracy rate and are used in...
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