Andrew M. Dai
About
Andrew M. Dai has authored 20 papers that have received a total of 525 indexed citations.
This includes 14 papers in Artificial Intelligence, 4 papers in Health Information Management and 3 papers in Statistical and Nonlinear Physics. The topics of these papers are Machine Learning in Healthcare (7 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (2 papers). Andrew M. Dai is often cited by papers focused on Machine Learning in Healthcare (7 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United States, Japan and United Kingdom. Andrew M. Dai's co-authors include Ian Goodfellow, Alvin Rajkomar, Claire Cui and Gerardo Flores and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Clinical Pharmacology & Therapeutics.
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