Danna Gurari
About
Danna Gurari has authored 32 papers that have received a total of 446 indexed citations.
This includes 29 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Computer Science Applications. The topics of these papers are Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). Danna Gurari is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers) and collaborates with scholars based in United States, China and Japan. Danna Gurari's co-authors include Margrit Betke, Kristen Grauman, Mehrnoosh Sameki, Qing Li and Samreen Anjum and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and Lecture notes in computer science
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