Jason J. Lau
About
Jason J. Lau has authored 10 papers that have received a total of 239 indexed citations.
This includes 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Artificial Intelligence. The topics of these papers are Domain Adaptation and Few-Shot Learning (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Multimodal Machine Learning Applications (2 papers). Jason J. Lau is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Multimodal Machine Learning Applications (2 papers) and collaborates with scholars based in United States, United Kingdom and Australia. Jason J. Lau's co-authors include Li Zhou, Diane L. Seger, Foster R. Goss, Maxim Topaz and Dina Demner‐Fushman and has published in prestigious journals such as Journal of the American Medical Informatics Association, BMJ Open and Annals of Biomedical Engineering
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