Sunil Gupta

26 papers and 872 indexed citations i.

Sunil Gupta has authored 26 papers that have received a total of 872 indexed citations. This includes 17 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning in Healthcare (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Bayesian Methods and Mixture Models (4 papers). Sunil Gupta is often cited by papers focused on Machine Learning in Healthcare (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Bayesian Methods and Mixture Models (4 papers) and collaborates with scholars based in Australia, India and United States. Sunil Gupta's co-authors include Dinh Phung, Svetha Venkatesh, Santu Rana, Truyen Tran and Wei Luo and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Journal of Epidemiology & Community Health