James Davidson

9 papers and 227 indexed citations .

James Davidson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, James Davidson has authored 9 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in James Davidson’s work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Heavy Metal Exposure and Toxicity (1 paper). James Davidson is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Heavy Metal Exposure and Toxicity (1 paper). James Davidson collaborates with scholars based in United States, United Kingdom and New Zealand. James Davidson's co-authors include Rahul Sukthankar, Lerrel Pinto, Abhinav Gupta, Danijar Hafner, Timothy Lillicrap, Ruben Villegas, Ian Fischer, Honglak Lee, David Ha and J Page and has published in prestigious journals such as Journal of Bone and Joint Surgery, ACS Sensors and Zeitschrift für angewandte Mathematik und Physik.