Saeed Amizadeh
About
Saeed Amizadeh has authored 13 papers that have received a total of 122 indexed citations.
This includes 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Bayesian Methods and Mixture Models (4 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Saeed Amizadeh is often cited by papers focused on Bayesian Methods and Mixture Models (4 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United States, United Kingdom and Switzerland. Saeed Amizadeh's co-authors include Miloš Hauskrecht, Markus Weimer, Hamed Valizadegan, Matteo Interlandi and Yaoqing Yang and has published in prestigious journals such as Proceedings of the VLDB Endowment.
In The Last Decade
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