Ehsan Abbasnejad
About
Ehsan Abbasnejad has authored 35 papers that have received a total of 596 indexed citations.
This includes 26 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 4 papers in Management Science and Operations Research. The topics of these papers are 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) and collaborates with scholars based in Australia, Switzerland and Germany. 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
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