Dinh Phung
About
Dinh Phung has authored 201 papers that have received a total of 4.3k indexed citations.
This includes 122 papers in Artificial Intelligence, 75 papers in Computer Vision and Pattern Recognition and 33 papers in Signal Processing. The topics of these papers are Domain Adaptation and Few-Shot Learning (26 papers), Topic Modeling (26 papers) and Anomaly Detection Techniques and Applications (19 papers). Dinh Phung is often cited by papers focused on Domain Adaptation and Few-Shot Learning (26 papers), Topic Modeling (26 papers) and Anomaly Detection Techniques and Applications (19 papers) and collaborates with scholars based in Australia, United States and Vietnam. Dinh Phung's co-authors include Svetha Venkatesh, Truyen Tran, Thin Nguyen, Tu Dinh Nguyen and Wei Luo and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE
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