Sarah Adel Bargal

20 papers and 978 indexed citations i.

Sarah Adel Bargal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Sarah Adel Bargal has authored 20 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 1 paper in Neurology. Recurrent topics in Sarah Adel Bargal’s work include Multimodal Machine Learning Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Sarah Adel Bargal is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Sarah Adel Bargal collaborates with scholars based in United States, Italy and Hong Kong. Sarah Adel Bargal's co-authors include Stan Sclaroff, Jianming Zhang, Jonathan Brandt, Xiaohui Shen, Zhe Lin, Fatih Çakir, Kun He, Aude Oliva, Mathew Monfort and Dan Gutfreund and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Human Brain Mapping and Pattern Recognition.