Emilie Morvant

9 papers and 57 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 57 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 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 ELM (4 papers) and Imbalanced Data Classification Techniques (4 papers). Emilie Morvant collaborates with scholars based in France, Canada and United States. Emilie Morvant's co-authors include Amaury Habrard, Marc Sebban, François Laviolette, Pascal Germain, Younès Bennani, Ievgen Redko, Stéphane Ayache, Aurélien Bellet, Massih-Reza Amini and Liva Ralaivola and has published in prestigious journals such as Neurocomputing, Machine Learning and Pattern Recognition Letters.