Christophe Biernacki
About
Christophe Biernacki has authored 44 papers that have received a total of 2.0k indexed citations.
This includes 39 papers in Artificial Intelligence, 17 papers in Statistics and Probability and 9 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (33 papers), Advanced Clustering Algorithms Research (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Christophe Biernacki is often cited by papers focused on Bayesian Methods and Mixture Models (33 papers), Advanced Clustering Algorithms Research (15 papers) and Statistical Methods and Bayesian Inference (9 papers) and collaborates with scholars based in France, Canada and Finland. Christophe Biernacki's co-authors include Gilles Celeux, Julien Jacques, Gérard Govaert, Pascal Germain and Luxin Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Monthly Notices of the Royal Astronomical Society and Biometrics.
In The Last Decade
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