Christopher DuBois
About
Christopher DuBois has authored 11 papers that have received a total of 179 indexed citations.
This includes 9 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 2 papers in Statistics and Probability. The topics of these papers are Complex Network Analysis Techniques (8 papers), Bayesian Methods and Mixture Models (7 papers) and Opinion Dynamics and Social Influence (4 papers). Christopher DuBois is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Bayesian Methods and Mixture Models (7 papers) and Opinion Dynamics and Social Influence (4 papers) and collaborates with scholars based in United States and The Netherlands. Christopher DuBois's co-authors include Padhraic Smyth, Carter T. Butts, James Foulds, Max Welling and David Eppstein and has published in prestigious journals such as Machine Learning, Journal of Mathematical Psychology and Mathematical Biosciences & Engineering.
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