Mathilde Mougeot
About
Mathilde Mougeot has authored 24 papers that have received a total of 128 indexed citations.
This includes 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Mechanics. The topics of these papers are Statistical Methods and Inference (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Mathilde Mougeot is often cited by papers focused on Statistical Methods and Inference (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Anomaly Detection Techniques and Applications (3 papers) and collaborates with scholars based in France, Canada and United States. Mathilde Mougeot's co-authors include Dominique Picard, Gilles Faÿ, Nicolas Vayatis, Philippe Drobinski and Robert Azencott and has published in prestigious journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Neural Networks and Boundary-Layer Meteorology
In The Last Decade
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