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个人简介
His research expertise and interests are, but not limited to, in the areas of visual analytics for machine learning and deep neural network for explaining and understanding them clearly and visualization of large-scale data for decision making by integrating machine learning, statistical techniques, and human perception.
I am interested in developing data visualization techniques for decision making by integrating machine learning, statistical methods, and human perception. Also, I have extensive research experience in modeling a large volume of spatial and temporal data (e.g., location-based social network) for forecasting, anomaly detection, and efficient visualization workflows
I am interested in developing data visualization techniques for decision making by integrating machine learning, statistical methods, and human perception. Also, I have extensive research experience in modeling a large volume of spatial and temporal data (e.g., location-based social network) for forecasting, anomaly detection, and efficient visualization workflows
研究兴趣
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2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (2023): 211-214
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Sangkeun Lee,Supriya Chintavali, Sarah Tennille,Junghoon Chae,Anika Tabassum,Varisara Tansakul, Daniel Redmon,Robert Moncrief, Aaron Myers
Graphics and Visual Computing (2020): 200013
user-60d14cd84c775e0497060202(2020)
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