Lisa Hellerstein
About
Lisa Hellerstein has authored 44 papers that have received a total of 579 indexed citations.
This includes 35 papers in Artificial Intelligence, 29 papers in Computational Theory and Mathematics and 11 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (26 papers), Combinatorial Optimization and Complexity Theory (18 papers) and Algorithms and Data Compression (16 papers). Lisa Hellerstein is often cited by papers focused on Machine Learning and Algorithms (26 papers), Combinatorial Optimization and Complexity Theory (18 papers) and Algorithms and Data Compression (16 papers) and collaborates with scholars based in United States, Canada and Israel. Lisa Hellerstein's co-authors include Amol Deshpande, Nader H. Bshouty, Thomas R. Hancock, Marek Karpiński and Richard M. Karp and has published in prestigious journals such as Operations Research, Journal of the ACM and Machine Learning
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