Shai Ben-David
About
Shai Ben-David has authored 73 papers that have received a total of 2.8k indexed citations.
This includes 64 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 12 papers in Signal Processing. The topics of these papers are Machine Learning and Algorithms (40 papers), Machine Learning and Data Classification (17 papers) and Algorithms and Data Compression (16 papers). Shai Ben-David is often cited by papers focused on Machine Learning and Algorithms (40 papers), Machine Learning and Data Classification (17 papers) and Algorithms and Data Compression (16 papers) and collaborates with scholars based in Canada, Israel and United States. Shai Ben-David's co-authors include Margareta Ackerman, Ruth Urner, David Loker, Nadav Eiron and Shai Shalev‐Shwartz and has published in prestigious journals such as Pattern Recognition, Artificial Intelligence and Journal of the ACM
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