Zachary Charles
About
Zachary Charles has authored 12 papers that have received a total of 102 indexed citations.
This includes 8 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Geometry and Topology. The topics of these papers are Privacy-Preserving Technologies in Data (4 papers), Machine Learning and ELM (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). Zachary Charles is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Machine Learning and ELM (4 papers) and Stochastic Gradient Optimization Techniques (4 papers) and collaborates with scholars based in United States and Israel. Zachary Charles's co-authors include Dimitris Papailiopoulos, Charles R. Johnson, Zachary Garrett, Shashank Rajput and Keith Rush and has published in prestigious journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and Discrete Mathematics.
In The Last Decade
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