Adel Bibi
About
Adel Bibi has authored 15 papers that have received a total of 90 indexed citations.
This includes 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Statistics and Probability. The topics of these papers are Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Markov Chains and Monte Carlo Methods (3 papers). Adel Bibi is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Markov Chains and Monte Carlo Methods (3 papers) and collaborates with scholars based in Saudi Arabia, United Kingdom and United States. Adel Bibi's co-authors include Bernard Ghanem, Philip H. S. Torr, Peter Richtárik, El Houcine Bergou and Ozan Şener and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access
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