Emilie Morvant
About
Emilie Morvant has authored 9 papers that have received a total of 54 indexed citations.
This includes 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Health Information Management. The topics of these papers are Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Algorithms (4 papers) and Imbalanced Data Classification Techniques (4 papers). Emilie Morvant is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Algorithms (4 papers) and Imbalanced Data Classification Techniques (4 papers) and collaborates with scholars based in France, Canada and United States. Emilie Morvant's co-authors include Amaury Habrard, Marc Sebban, Pascal Germain, François Laviolette and Massih-Reza Amini and has published in prestigious journals such as Neurocomputing, Machine Learning and Pattern Recognition Letters
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