Emilie Morvant

9 papers and 56 indexed citations i.

Emilie Morvant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Emilie Morvant has authored 9 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Health Information Management. Recurrent topics in Emilie Morvant’s work include Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and ELM (4 papers) and Machine Learning and Algorithms (4 papers). Emilie Morvant is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and ELM (4 papers) and Machine Learning and Algorithms (4 papers). Emilie Morvant collaborates with scholars based in France, Canada and Austria. Emilie Morvant's co-authors include Amaury Habrard, Marc Sebban, François Laviolette, Pascal Germain and Stéphane Ayache and has published in prestigious journals such as Neurocomputing, Machine Learning and Pattern Recognition Letters.