Ehsan Abbasnejad

36 papers and 641 indexed citations i.

Ehsan Abbasnejad is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Ehsan Abbasnejad has authored 36 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 4 papers in Management Science and Operations Research. Recurrent topics in Ehsan Abbasnejad’s work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (11 papers) and Adversarial Robustness in Machine Learning (5 papers). Ehsan Abbasnejad is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (11 papers) and Adversarial Robustness in Machine Learning (5 papers). Ehsan Abbasnejad collaborates with scholars based in Australia, Switzerland and Italy. Ehsan Abbasnejad's co-authors include Anton van den Hengel, Damien Teney, Qinfeng Shi, Scott Sanner and Qi Wu and has published in prestigious journals such as Energy Conversion and Management, Energy and Sensors.