Carey E. Priebe
About
Carey E. Priebe has authored 216 papers that have received a total of 3.6k indexed citations.
This includes 115 papers in Artificial Intelligence, 57 papers in Computer Vision and Pattern Recognition and 56 papers in Statistical and Nonlinear Physics. The topics of these papers are Complex Network Analysis Techniques (56 papers), Advanced Graph Neural Networks (32 papers) and Bayesian Methods and Mixture Models (31 papers). Carey E. Priebe is often cited by papers focused on Complex Network Analysis Techniques (56 papers), Advanced Graph Neural Networks (32 papers) and Bayesian Methods and Mixture Models (31 papers) and collaborates with scholars based in United States, United Kingdom and Türkiye. Carey E. Priebe's co-authors include Minh Tang, Joshua T Vogelstein, Youngser Park, David J. Marchette and Vince Lyzinski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences
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