Real-time Visual Analytics
Real-Time Visual Analytics is a computational framework that integrates interactive visual interfaces with streaming data analysis techniques to enable immediate, iterative interpretation and decision-making in dynamic data environments.
55
Publications
2.4K
Citations
207
Authors
86
Institutions
Publications per year
2017–2026
23
Parents
55
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification
Samira Pouyanfar, Yudong Tao, Anup Mohan et al. · 2018 · 166 citations
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Purdue University West Lafayette
West Lafayette, United States
3 h-index
8 publications
706 citations

Pacific Northwest National Laboratory
Richland, United States
3 h-index
8 publications
451 citations
University of Konstanz
Konstanz, Germany
3 h-index
9 publications
224 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
3 publications
327 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
4 publications
615 citations

Zhejiang University
Hangzhou, China
2 h-index
6 publications
528 citations

University of North Carolina at Charlotte
Charlotte, United States
2 h-index
6 publications
154 citations
Centre for Research and Technology Hellas
Thessaloniki, Greece
2 h-index
9 publications
597 citations
1–8 of 86
TVCG · 5 publications · 422 citations
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2 publications · 56 citations
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2 publications · 90 citations
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2 publications · 23 citations
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1 publications · 66 citations
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