Ibrahim Alabdulmohsin

12 papers and 74 indexed citations i.

Ibrahim Alabdulmohsin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ibrahim Alabdulmohsin has authored 12 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ibrahim Alabdulmohsin’s work include Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Ibrahim Alabdulmohsin is often cited by papers focused on Machine Learning and Algorithms (5 papers), Machine Learning and Data Classification (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Ibrahim Alabdulmohsin collaborates with scholars based in Saudi Arabia, United States and Switzerland. Ibrahim Alabdulmohsin's co-authors include Xin Gao, Xiangliang Zhang, Daniel Keysers, Olivier Bousquet and А. И. Колесников and has published in prestigious journals such as Machine Learning and Entropy.