Cédric Archambeau
About
Cédric Archambeau has authored 35 papers that have received a total of 785 indexed citations.
This includes 31 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Computer Vision and Pattern Recognition. The topics of these papers are Gaussian Processes and Bayesian Inference (7 papers), Bayesian Methods and Mixture Models (7 papers) and Face and Expression Recognition (5 papers). Cédric Archambeau is often cited by papers focused on Gaussian Processes and Bayesian Inference (7 papers), Bayesian Methods and Mixture Models (7 papers) and Face and Expression Recognition (5 papers) and collaborates with scholars based in United Kingdom, Germany and United States. Cédric Archambeau's co-authors include Michel Verleysen, Manfred Opper, Guillaume Bouchard, Valerio Perrone and Matthias Seeger and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.
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