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Abstract: Graph theory and machine learning are revolutionary approaches to medical image analysis that leverage the structural nuances of medical data for better diagnostic accuracy. This research ...
During his studies, he developed a solid background in several areas, including algorithm design, graph theory, and machine learning. In January 2020, he received his joint Ph.D. from the University ...
DSTrain project applications with us can cover fundamental methodological aspects of machine learning and computational science, as well as domain-oriented, data-rich studies focused on upstream tasks ...
In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...