Maxim Raginsky
About
Maxim Raginsky has authored 82 papers that have received a total of 1.1k indexed citations.
This includes 40 papers in Artificial Intelligence, 19 papers in Electrical and Electronic Engineering and 18 papers in Computer Networks and Communications. The topics of these papers are Advanced Bandit Algorithms Research (11 papers), Machine Learning and Algorithms (11 papers) and Sparse and Compressive Sensing Techniques (10 papers). Maxim Raginsky is often cited by papers focused on Advanced Bandit Algorithms Research (11 papers), Machine Learning and Algorithms (11 papers) and Sparse and Compressive Sensing Techniques (10 papers) and collaborates with scholars based in United States, Türkiye and Canada. Maxim Raginsky's co-authors include Rebecca Willett, Aolin Xu, Naci Saldı, Svetlana Lazebnik and Tamer Başar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Physical Review A
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