Luke Metz
About
Luke Metz has authored 9 papers that have received a total of 206 indexed citations.
This includes 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. The topics of these papers are Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Human Pose and Action Recognition (2 papers). Luke Metz is often cited by papers focused on Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Human Pose and Action Recognition (2 papers) and collaborates with scholars based in United States, Canada and Sweden. Luke Metz's co-authors include Jascha Sohl‐Dickstein, Niru Maheswaranathan, C. Daniel Freeman, Brian Cheung and Jeremy Nixon and has published in prestigious journals such as Journal of Managed Care & Specialty Pharmacy
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