Dima Kuzmin
About
Dima Kuzmin has authored 4 papers that have received a total of 78 indexed citations.
This includes 2 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Advanced Bandit Algorithms Research (2 papers), Metaheuristic Optimization Algorithms Research (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Dima Kuzmin is often cited by papers focused on Advanced Bandit Algorithms Research (2 papers), Metaheuristic Optimization Algorithms Research (1 paper) and Sparse and Compressive Sensing Techniques (1 paper) and collaborates with scholars based in United States, United Kingdom and South Korea. Dima Kuzmin's co-authors include Manfred K. Warmuth, Kun Su, Qingqing Huang, Chris Donahue and Joonseok Lee and has published in prestigious journals such as Machine Learning and Journal of Machine Learning Research
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