James Smith
About
James Smith has authored 21 papers that have received a total of 289 indexed citations.
This includes 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Public Health, Environmental and Occupational Health. The topics of these papers are Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (7 papers) and Global Health and Surgery (2 papers). James Smith is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (7 papers) and Global Health and Surgery (2 papers) and collaborates with scholars based in United States, Australia and France. James Smith's co-authors include Zsolt Kira, Yen-Chang Hsu, Paola Cascante-Bonilla, Bogdan M. Wilamowski and Rogério Feris and has published in prestigious journals such as Journal of the Atmospheric Sciences, IEEE Transactions on Antennas and Propagation and IEEE Transactions on Neural Networks and Learning Systems
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