Shaul Markovitch
About
Shaul Markovitch has authored 58 papers that have received a total of 2.2k indexed citations.
This includes 55 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 7 papers in Information Systems. The topics of these papers are Topic Modeling (15 papers), Machine Learning and Algorithms (15 papers) and Machine Learning and Data Classification (12 papers). Shaul Markovitch is often cited by papers focused on Topic Modeling (15 papers), Machine Learning and Algorithms (15 papers) and Machine Learning and Data Classification (12 papers) and collaborates with scholars based in Israel, United States and United Kingdom. Shaul Markovitch's co-authors include Evgeniy Gabrilovich, David Carmel, Michael Lindenbaum, Erez Karpas and Ehud Rivlin and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Journal of Machine Learning Research
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