Ethan Fetaya
About
Ethan Fetaya has authored 22 papers that have received a total of 432 indexed citations.
This includes 18 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. The topics of these papers are Anomaly Detection Techniques and Applications (4 papers), Advanced Graph Neural Networks (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Ethan Fetaya is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Advanced Graph Neural Networks (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers) and collaborates with scholars based in Israel, United States and Canada. Ethan Fetaya's co-authors include Richard S. Zemel, Raquel Urtasun, Gal Chechik, Renjie Liao and Haggai Maron and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Sensors
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