Dan Roth
About
Dan Roth has authored 309 papers that have received a total of 8.1k indexed citations.
This includes 290 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 24 papers in Information Systems. The topics of these papers are Topic Modeling (218 papers), Natural Language Processing Techniques (201 papers) and Machine Learning and Algorithms (46 papers). Dan Roth is often cited by papers focused on Topic Modeling (218 papers), Natural Language Processing Techniques (201 papers) and Machine Learning and Algorithms (46 papers) and collaborates with scholars based in United States, Israel and Hong Kong. Dan Roth's co-authors include Alla Rozovskaya, Yangqiu Song, Vivek Srikumar, Daniel Khashabi and Ming‐Wei Chang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The American Journal of Sports Medicine
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