Pascal Germain

14 papers and 399 indexed citations i.

Pascal Germain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Pascal Germain has authored 14 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Pascal Germain’s work include Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Algorithms (5 papers) and Machine Learning and Data Classification (4 papers). Pascal Germain is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Machine Learning and Algorithms (5 papers) and Machine Learning and Data Classification (4 papers). Pascal Germain collaborates with scholars based in Canada, France and Russia. Pascal Germain's co-authors include François Laviolette, Mario Marchand, Hugo Larochelle, Victor Lempitsky, Yaroslav Ganin, Evgeniya Ustinova, Alexandre Lacasse, J. Baruthio, Christian Ronse and Nicolas Passat and has published in prestigious journals such as Separation and Purification Technology, Neurocomputing and Computerized Medical Imaging and Graphics.