Jeff M. Phillips
About
Jeff M. Phillips has authored 65 papers that have received a total of 905 indexed citations.
This includes 34 papers in Artificial Intelligence, 20 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. The topics of these papers are Data Management and Algorithms (17 papers), Sparse and Compressive Sensing Techniques (8 papers) and Stochastic Gradient Optimization Techniques (8 papers). Jeff M. Phillips is often cited by papers focused on Data Management and Algorithms (17 papers), Sparse and Compressive Sensing Techniques (8 papers) and Stochastic Gradient Optimization Techniques (8 papers) and collaborates with scholars based in United States, China and Denmark. Jeff M. Phillips's co-authors include Feifei Li, Suresh Venkatasubramanian, Pankaj K. Agarwal, Yan Zheng and Sunipa Dev and has published in prestigious journals such as The American Journal of Gastroenterology, The Laryngoscope and IEEE Transactions on Knowledge and Data Engineering
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