Jay Pujara
About
Jay Pujara has authored 37 papers that have received a total of 330 indexed citations.
This includes 29 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Data Quality and Management (8 papers). Jay Pujara is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Data Quality and Management (8 papers) and collaborates with scholars based in United States, India and Taiwan. Jay Pujara's co-authors include Lise Getoor, Xiang Ren, Pei Zhou, Pedro Szekely and Pigi Kouki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, AI Magazine and Knowledge and Information Systems
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