Sarah Zelikovitz
About
Sarah Zelikovitz has authored 14 papers that have received a total of 84 indexed citations.
This includes 9 papers in Artificial Intelligence, 3 papers in Media Technology and 2 papers in Computational Theory and Mathematics. The topics of these papers are Text and Document Classification Technologies (9 papers), Topic Modeling (4 papers) and Experimental Learning in Engineering (3 papers). Sarah Zelikovitz is often cited by papers focused on Text and Document Classification Technologies (9 papers), Topic Modeling (4 papers) and Experimental Learning in Engineering (3 papers) and collaborates with scholars based in United States and Australia. Sarah Zelikovitz's co-authors include Haym Hirsh, Isak Taksa, Amanda Spink, Irene H. Ludwig and Ryan J. Kettler and has published in prestigious journals such as Information Retrieval, International Journal of Pattern Recognition and Artificial Intelligence and International Journal of Web Information Systems
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