Jason Yim
About
Jason Yim has authored 4 papers that have received a total of 6 indexed citations.
This includes 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Genetics. The topics of these papers are Topic Modeling (1 paper), Machine Learning and Data Classification (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jason Yim is often cited by papers focused on Topic Modeling (1 paper), Machine Learning and Data Classification (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper) and collaborates with scholars based in United States and United Kingdom. Jason Yim's co-authors include J. Dale Browne, Mauro Maggioni, Tyler M. Tomita, H. Stärk and Joshua T Vogelstein and has published in prestigious journals such as Investigative Ophthalmology & Visual Science and Wiley Interdisciplinary Reviews Computational Molecular Science
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