Deanna Needell
About
Deanna Needell has authored 114 papers that have received a total of 5.8k indexed citations.
This includes 80 papers in Computational Mechanics, 49 papers in Artificial Intelligence and 26 papers in Biomedical Engineering. The topics of these papers are Sparse and Compressive Sensing Techniques (78 papers), Stochastic Gradient Optimization Techniques (30 papers) and Blind Source Separation Techniques (21 papers). Deanna Needell is often cited by papers focused on Sparse and Compressive Sensing Techniques (78 papers), Stochastic Gradient Optimization Techniques (30 papers) and Blind Source Separation Techniques (21 papers) and collaborates with scholars based in United States, Canada and Israel. Deanna Needell's co-authors include Rachel Ward, Yaniv Plan, Roman Vershynin, Yonina C. Eldar and Joel A. Tropp and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.
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