Amit Daniely

21 papers and 214 indexed citations i.

Amit Daniely has authored 21 papers that have received a total of 214 indexed citations. This includes 19 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Algorithms (11 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Imbalanced Data Classification Techniques (5 papers). Amit Daniely is often cited by papers focused on Machine Learning and Algorithms (11 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Imbalanced Data Classification Techniques (5 papers) and collaborates with scholars based in Israel, United States and Canada. Amit Daniely's co-authors include Shai Shalev‐Shwartz, Sivan Sabato, Nati Linial, Yoram Singer and Michael Schapira and has published in prestigious journals such as Journal of Machine Learning Research, SIAM Journal on Computing and Lecture notes in computer science.