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14th PacificVis 2021: Tianjin, China
- 14th IEEE Pacific Visualization Symposium, PacificVis 2021, Tianjin, China, April 19-21, 2021. IEEE 2021, ISBN 978-1-6654-3931-2
- Hui Shao, Jiansu Pu, Yanlin Zhu, Boyang Gao, Zhengguo Zhu, Yunbo Rao:
Visual Analysis on Machine Learning Assisted Prediction of Ionic Conductivity for Solid-State Electrolytes. 1-5 - Shijun Cai, Seok-Hee Hong, Jialiang Shen, Tongliang Liu:
A Machine Learning Approach for Predicting Human Preference for Graph Layouts*. 6-10 - Can Liu, Yun Han, Ruike Jiang, Xiaoru Yuan:
ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data. 11-20 - Junhua Lu, Wei Chen, Hui Ye, Jie Wang, Honghui Mei, Yuhui Gu, Yingcai Wu, Xiaolong Luke Zhang, Kwan-Liu Ma:
Automatic Generation of Unit Visualization-based Scrollytelling for Impromptu Data Facts Delivery. 21-30 - Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister:
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. 31-40 - Yashvir S. Grewal, Sarah Goodwin, Tim Dwyer:
Visualising Temporal Uncertainty: A Taxonomy and Call for Systematic Evaluation. 41-45 - Dominik Vietinghoff, Christian Heine, Michael Böttinger, Gerik Scheuermann:
An Extension of Empirical Orthogonal Functions for the Analysis of Time-Dependent 2D Scalar Field Ensembles. 46-50 - Bao Dien Quoc Nguyen, Rattikorn Hewett, Tommy Dang:
NetScatter: Visual analytics of multivariate time series with a hybrid of dynamic and static variable relationships. 52-60 - Jules Wulms, Juri Buchmüller, Wouter Meulemans, Kevin Verbeek, Bettina Speckmann:
Stable Visual Summaries for Trajectory Collections. 61-70 - Dominik Vietinghoff, Christian Heine, Michael Böttinger, Nicola Maher, Johann Jungclaus, Gerik Scheuermann:
Visual Analysis of Spatio-Temporal Trends in Time-Dependent Ensemble Data Sets on the Example of the North Atlantic Oscillation. 71-80 - Youngtaek Kim, Hyeon Jeon, Young-Ho Kim, Yuhoon Ki, Hyunjoo Song, Jinwook Seo:
Visualization Support for Multi-criteria Decision Making in Software Issue Propagation. 81-85 - Jian Zhao, Maoyuan Sun, Patrick Chiu, Francine Chen, Bee Liew:
Know-What and Know-Who: Document Searching and Exploration using Topic-Based Two-Mode Networks. 86-90 - Thomas Köppel, M. Eduard Gröller, Hsiang-Yun Wu:
Context-Responsive Labeling in Augmented Reality. 91-100 - Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang:
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. 101-110 - Seokweon Jung, Kiroong Choe, Seokhyeon Park, Hyung-Kwon Ko, Youngtaek Kim, Jinwook Seo:
Mixed-Initiative Approach to Extract Data from Pictures of Medical Invoice. 111-115 - Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn:
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. 116-125 - Sarah Goodwin, Sebastian Meier, Lyn Bartram, Alex Godwin, Till Nagel, Marian Dörk:
Unravelling the Human Perspective and Considerations for Urban Data Visualization. 126-130 - Velitchko Andreev Filipov, Alessio Arleo, Silvia Miksch:
Exploratory User Study on Graph Temporal Encodings. 131-135 - Boyan Zheng, Filip Sadlo:
On the Visualization of Hierarchical Multivariate Data. 136-145 - Amyra Meidiana, Seok-Hee Hong, Shijun Cai, Marnijati Torkel, Peter Eades:
Sublinear-Time Attraction Force Computation for Large Complex Graph Drawing. 146-150 - Seok-Hee Hong, Peter Eades, Marnijati Torkel, James Wood, Kunsoo Park:
Louvain-based Multi-level Graph Drawing. 151-155 - Seok-Hee Hong, Peter Eades, Marnijati Torkel:
GDot: Drawing Graphs with Dots and Circles. 156-165 - Amyra Meidiana, James Wood, Seok-Hee Hong:
Sublinear-time Algorithms for Stress Minimization in Graph Drawing. 166-175 - Kiroong Choe, Seokweon Jung, Seokhyeon Park, Hwajung Hong, Jinwook Seo:
Papers101: Supporting the Discovery Process in the Literature Review Workflow for Novice Researchers. 176-180 - Liang Liu, Song Wang, Ting Cai, Hanglin Li, Weixin Zhao, Yadong Wu:
Visual Analytics Methods for Interactively Exploring the Campus Lifestyle. 181-185 - Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang:
Investigating the Evolution of Tree Boosting Models with Visual Analytics. 186-195 - Xiaoyu Zhang, Takanori Fujiwara, Senthil K. Chandrasegaran, Michael P. Brundage, Thurston Sexton, Alden Dima, Kwan-Liu Ma:
A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data. 196-205 - Yamei Tu, Jiayi Xu, Han-Wei Shen:
KeywordMap: Attention-based Visual Exploration for Keyword Analysis. 206-215 - Tiandong Xiao, Yosuke Onoue:
Visualization of Topic Transitions in SNSs Using Document Embedding and Dimensionality Reduction. 216-220
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