Su-In Lee

3 papers and 123 indexed citations i.

Su-In Lee is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Su-In Lee has authored 3 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Statistics and Probability. Recurrent topics in Su-In Lee’s work include Gene expression and cancer classification (2 papers), Blind Source Separation Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Su-In Lee is often cited by papers focused on Gene expression and cancer classification (2 papers), Blind Source Separation Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Su-In Lee collaborates with scholars based in United States. Su-In Lee's co-authors include David Vickrey, Daphne Koller, Seungyeop Han, Daniela Witten, Maryam Fazel and Serafim Batzoglou and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), PubMed and Neural Information Processing Systems.