Joshua Patterson
About
Joshua Patterson has authored 3 papers that have received a total of 213 indexed citations.
This includes 3 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Signal Processing. The topics of these papers are Advanced Neural Network Applications (2 papers), Data Visualization and Analytics (2 papers) and Graph Theory and Algorithms (2 papers). Joshua Patterson is often cited by papers focused on Advanced Neural Network Applications (2 papers), Data Visualization and Analytics (2 papers) and Graph Theory and Algorithms (2 papers) and collaborates with scholars based in United States and United Kingdom. Joshua Patterson's co-authors include Corey Nolet, Tim Oates, Edward Raff and Sebastian Raschka and has published in prestigious journals such as Information.
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