Tim Moon

7 papers and 155 indexed citations i.

Tim Moon has authored 7 papers that have received a total of 155 indexed citations. This includes 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. The topics of these papers are Advanced Neural Network Applications (5 papers), Stochastic Gradient Optimization Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Tim Moon is often cited by papers focused on Advanced Neural Network Applications (5 papers), Stochastic Gradient Optimization Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United States. Tim Moon's co-authors include Brian Van Essen, Nikoli Dryden, Sam Adé Jacobs, David Hysom and Naoya Maruyama and has published in prestigious journals such as The International Journal of High Performance Computing Applications.