Search Results - "2021 IEEE 14th Pacific Visualization Symposium (PacificVis)"

ADVISor: Automatic Visualization Answer for Natural-Language Question on Tabular Data by Liu, Can, Han, Yun, Jiang, Ruike, Yuan, Xiaoru

“…We propose an automatic pipeline to generate visualization with annotations to answer natural-language questions raised by the public on tabular data. With a…”
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Automatic Generation of Unit Visualization-based Scrollytelling for Impromptu Data Facts Delivery by Lu, Junhua, Chen, Wei, Ye, Hui, Wang, Jie, Mei, Honghui, Gu, Yuhui, Wu, Yingcai, Zhang, Xiaolong Luke, Ma, Kwan-Liu

“…Data-driven scrollytelling has become a prevalent way of visual communication because of its comprehensive delivery of perspectives derived from the data…”
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Investigating the Evolution of Tree Boosting Models with Visual Analytics by Wang, Junpeng, Zhang, Wei, Wang, Liang, Yang, Hao

“…Tree boosting models are widely adopted predictive models and have demonstrated superior performance than other conventional and even deep learning models,…”
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A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance Data by Zhang, Xiaoyu, Fujiwara, Takanori, Chandrasegaran, Senthil, Brundage, Michael P., Sexton, Thurston, Dima, Alden, Ma, Kwan-Liu

“…Analysis of large, high-dimensional, and heterogeneous datasets is challenging as no one technique is suitable for visualizing and clustering such data in…”
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Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data by Zhou, Youjia, Chalapathi, Nithin, Rathore, Archit, Zhao, Yaodong, Wang, Bei

“…The mapper algorithm is a popular tool from topological data analysis for extracting topological summaries of high-dimensional datasets. In this paper, we…”
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Papers101: Supporting the Discovery Process in the Literature Review Workflow for Novice Researchers by Choe, Kiroong, Jung, Seokweon, Park, Seokhyeon, Hong, Hwajung, Seo, Jinwook

“…A literature review is a critical task in performing research. However, even browsing an academic database and choosing must-read items can be daunting for…”
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On the Visualization of Hierarchical Multivariate Data by Zheng, Boyan, Sadlo, Filip

“…In this paper, we study the visual design of hierarchical multivariate data analysis. We focus on the extension of four hierarchical univariate concepts-the…”
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Context-Responsive Labeling in Augmented Reality by Koppel, Thomas, Eduard Groller, M., Wu, Hsiang-Yun

“…Route planning and navigation are common tasks that often require additional information on points of interest. Augmented Reality (AR) enables mobile users to…”
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Stable Visual Summaries for Trajectory Collections by Wulms, Jules, Buchmuller, Juri, Meulemans, Wouter, Verbeek, Kevin, Speckmann, Bettina

“…The availability of devices that track moving objects has led to an explosive growth in trajectory data. When exploring the resulting large trajectory…”
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Visual Analysis on Machine Learning Assisted Prediction of Ionic Conductivity for Solid-State Electrolytes by Shao, Hui, Pu, Jiansu, Zhu, Yanlin, Gao, Boyang, Zhu, Zhengguo, Rao, Yunbo

“…Lithium ion batteries (LIBs) are widely used as the important energy sources in our daily life such as mobile phones, electric vehicles, and drones etc. Due to…”
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KeywordMap: Attention-based Visual Exploration for Keyword Analysis by Tu, Yamei, Xu, Jiayi, Shen, Han-Wei

“…With the high growth rate of text data, extracting meaningful information from a large corpus becomes increasingly difficult. Keyword extraction and analysis…”
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Visualization Support for Multi-criteria Decision Making in Software Issue Propagation by Kim, Youngtaek, Jeon, Hyeon, Kim, Young-Ho, Ki, Yuhoon, Song, Hyunjoo, Seo, Jinwook

“…Finding the propagation scope for various types of issues in Software Product Lines (SPLs) is a complicated Multi-Criteria Decision Making (MCDM) problem. This…”
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Visual Analysis of Spatio-Temporal Trends in Time-Dependent Ensemble Data Sets on the Example of the North Atlantic Oscillation by Vietinghoff, Dominik, Heine, Christian, Bottinger, Michael, Maher, Nicola, Jungclaus, Johann, Scheuermann, Gerik

“…A driving factor of the winter weather in Western Europe is the North Atlantic Oscillation (NAO), manifested by fluctuations in the difference of sea level…”
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Exploratory User Study on Graph Temporal Encodings by Filipov, Velitchko, Arleo, Alessio, Miksch, Silvia

“…A temporal graph stores and reflects temporal information associated with its entities and relationships. Such graphs can be utilized to model a broad variety…”
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Parsing and Summarizing Infographics with Synthetically Trained Icon Detection by Madan, Spandan, Bylinskii, Zoya, Nobre, Carolina, Tancik, Matthew, Recasens, Adria, Zhong, Kimberli, Alsheikh, Sami, Oliva, Aude, Durand, Fredo, Pfister, Hanspeter

“…Widely used in news, business, and educational media, infographics are handcrafted to effectively communicate messages about complex and often abstract topics…”
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Sublinear-Time Attraction Force Computation for Large Complex Graph Drawing by Meidiana, Amyra, Hong, Seok-Hee, Cai, Shijun, Torkel, Marnijati, Eades, Peter

“…Recent works in graph visualization attempt to reduce the runtime of repulsion force computation of force-directed algorithms using sampling, however they fail…”
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Unravelling the Human Perspective and Considerations for Urban Data Visualization by Goodwin, Sarah, Meier, Sebastian, Bartram, Lyn, Godwin, Alex, Nagel, Till, Dork, Marian

“…Effective use of data is an essential asset to modern cities. Visualization as a tool for analysis, exploration, and communication has become a driving force…”
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Louvain-based Multi-level Graph Drawing by Hong, Seok-Hee, Eades, Peter, Torkel, Marnijati, Wood, James, Park, Kunsoo

“…The multi-level graph drawing is a popular approach to visualize large and complex graphs. It recursively coarsens a graph and then uncoarsens the drawing…”
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Sublinear-time Algorithms for Stress Minimization in Graph Drawing by Meidiana, Amyra, Wood, James, Hong, Seok-Hee

“…We present algorithms reducing the runtime of the stress minimization iteration of stress-based layouts to sublinear in the number of vertices and edges…”
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A Machine Learning Approach for Predicting Human Preference for Graph Layouts by Cai, Shijun, Hong, Seok-Hee, Shen, Jialiang, Liu, Tongliang

“…Understanding what graph layout human prefer and why they prefer such graph layout is significant and challenging due to the highly complex visual perception…”
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