Ruth Urner

43 total papers · 455 total citations
13 papers, 108 citations indexed

Ruth Urner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ruth Urner has authored 13 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ruth Urner’s work include Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ruth Urner is often cited by papers focused on Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ruth Urner collaborates with scholars based in Canada, Germany and United States. Ruth Urner's co-authors include Shai Ben-David, Gerd Grau, Ohad Shamir, Shai Shalev‐Shwartz, Anastasia Pentina, Pranjal Awasthi, Nika Haghtalab, Haiko Müller, Samory Kpotufe and Maria-Florina Balcan and has published in prestigious journals such as Journal of Machine Learning Research, Discrete Applied Mathematics and Flexible and Printed Electronics.