Alex Gittens
About
Alex Gittens has authored 19 papers that have received a total of 271 indexed citations.
This includes 14 papers in Artificial Intelligence, 8 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (8 papers), Stochastic Gradient Optimization Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alex Gittens is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Stochastic Gradient Optimization Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers) and collaborates with scholars based in United States, China and Israel. Alex Gittens's co-authors include Michael W. Mahoney, Shusen Wang, L. Gerhardt, Kristyn Maschhoff and Bülent Yener and has published in prestigious journals such as Journal of Materials Chemistry, IEEE Access and International Journal of Computer Vision.
In The Last Decade
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