Jungseock Joo
About
Jungseock Joo has authored 37 papers that have received a total of 521 indexed citations.
This includes 13 papers in Computer Vision and Pattern Recognition, 12 papers in Sociology and Political Science and 9 papers in Artificial Intelligence. The topics of these papers are Multimodal Machine Learning Applications (4 papers), Robot Manipulation and Learning (4 papers) and Complex Network Analysis Techniques (4 papers). Jungseock Joo is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Robot Manipulation and Learning (4 papers) and Complex Network Analysis Techniques (4 papers) and collaborates with scholars based in United States, South Korea and China. Jungseock Joo's co-authors include ZACHARY STEINERT-THRELKELD, Mohammad Khalid Jawed, Song‐Chun Zhu, Francis F. Steen and Andrew Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and American Political Science Review
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