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Publication search results
found 710 matches
- 2020
- Suyun "Sandra" Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff, Kwan-Liu Ma:
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews. IEEE VAST@IEEE VIS 2020: 24-35 - Takanori Fujiwara, Jian Zhao, Francine Chen, Kwan-Liu Ma:
A Visual Analytics Framework for Contrastive Network Analysis. IEEE VAST@IEEE VIS 2020: 48-59 - Zhibin Niu, Runlin Li, Junqi Wu, Dawei Cheng, Jiawan Zhang:
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans. IEEE VAST@IEEE VIS 2020: 84-94 - Xumeng Wang, Wei Chen, Jiazhi Xia, Zexian Chen, Dongshi Xu, Xiangyang Wu, Mingliang Xu, Tobias Schreck:
ConceptExplorer: Visual Analysis of Concept Drifts in Multi-source Time-series Data. IEEE VAST@IEEE VIS 2020: 1-11 - Guizhen Wang, Jingjing Guo, Mingjie Tang, José Florencio de Queiroz Neto, Calvin Yau, Anas Daghistani, Morteza Karimzadeh, Walid G. Aref, David S. Ebert:
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data. IEEE VAST@IEEE VIS 2020: 72-83 - Jiang Wu, Ziyang Guo, Zuobin Wang, Qingyang Xu, Yingcai Wu:
Visual Analytics of Multivariate Event Sequence Data in Racquet Sports. IEEE VAST@IEEE VIS 2020: 36-47 - Jiazhi Xia, Tianxiang Chen, Lei Zhang, Wei Chen, Yang Chen, Xiaolong Zhang, Cong Xie, Tobias Schreck:
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization. IEEE VAST@IEEE VIS 2020: 107-118 - Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu:
Diagnosing Concept Drift with Visual Analytics. IEEE VAST@IEEE VIS 2020: 12-23 - Zengsheng Zhong, Shuirun Wei, Yeting Xu, Ying Zhao, Fangfang Zhou, Feng Luo, Ronghua Shi:
SilkViser: A Visual Explorer of Blockchain-based Cryptocurrency Transaction Data. IEEE VAST@IEEE VIS 2020: 95-106 - Zhiguang Zhou, Xinlong Zhang, Zhendong Yang, Yuanyuan Chen, Yuhua Liu, Jin Wen, Binjie Chen, Ying Zhao, Wei Chen:
Visual Abstraction of Geographical Point Data with Spatial Autocorrelations. IEEE VAST@IEEE VIS 2020: 60-71 - 15th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST@IEEE VIS 2020, Virtual Event, USA, October 25-30, 2020. IEEE 2020, ISBN 978-1-7281-8009-0 [contents]
- 2019
- Shuai Chen, Sihang Li, Liwenhan Xie, Yi Zhong, Yun Han, Xiaoru Yuan:
EarthquakeAware: Visual Analytics for Understanding Human Impacts of Earthquakes from Social Media Data. VAST 2019: 122-123 - Natthawut Adulyanukosol:
Earthquake Damage Report Interactive Dashboard Using Bayesian Structural Time Series and Value-Suppressing Uncertainty Palettes. VAST 2019: 106-107 - Alex Bigelow, Carolina Nobre, Miriah Meyer, Alexander Lex:
Origraph: Interactive Network Wrangling. VAST 2019: 81-92 - Katy Börner:
VIS Keynote Address: Data Visualization Literacy. VAST 2019: xiii - Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau:
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST 2019: 46-56 - Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST 2019: 69-80 - Johanna Drucker:
VIS Capstone Address: Visualizing Temporality and Chronologies for the Humanities. VAST 2019: xiv - Chen Guo, Xiang Liu, Evie Cai, Yingjie Victor Chen, Zhenyu Cheryl Qian, Rui Li:
TopicInk: Visualizing Disaster-Related Textual Data Using LDA Topic Modeling: Vast Challenge 2019: Honorable Mention for Clear Articulation of Methodology. VAST 2019: 124-125 - Haysn Hornbeck, Usman R. Alim:
UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Radiation Data. VAST 2019: 128-129 - Haysn Hornbeck, Usman R. Alim:
UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Likert Scales. VAST 2019: 130-131 - Yueqi Hu, Qi Ma, Yang Chen, Haidong Chen, Weiqing Jin, Fenjin Ye:
Visual Analysis of Multivariate Time Series of Static and Mobile Sensors. VAST 2019: 118-119 - Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model. VAST 2019: 120-121 - Wolfgang Jentner, Juri Buchmüller, Fabian Sperrle, Rita Sevastjanova, Thilo Spinner, Udo Schlegel, Dirk Streeb, Hanna Schäfer:
N.E.A.T. - Novel Emergency Analysis Tool. VAST 2019: 104-105 - Shichao Jia, Jiaqi Wang, Zeyu Li, Jiawan Zhang:
Interactive Ranking Uncertain Multivariate Ordinal Time Series. VAST 2019: 108-109 - Haojin Jiang, Kui Yang, Yaqi Qin, Yifei Yang, Ying Zhao, Fangfang Zhou:
Visual Analytics of Spatio-Temporal Uncertainties for Radiation Monitoring in a Nuclear Leakage Crisis. VAST 2019: 132-133 - Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park:
TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling. VAST 2019: 35-45 - Johannes Knittel, Steffen Koch, Thomas Ertl:
Pattern-Based Semantic and Temporal Exploration of Social Media Messages. VAST 2019: 134-135 - Rodrigo Santos Do Amor Divino Lima, Carlos Gustavo Resque dos Santos, Bianchi Serique Meiguins:
IDUVis: An Interactive Dashboard for Uncertainty Visualization and Analysis - Vast Challenge 2019 MC1 Award for Supporting Situation Awareness and Anomaly Detection. VAST 2019: 110-111 - Arjun Majumdar, Gent Ymeri, Sebastian Strumbelj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim:
Earthquake Investigation and Visual Cognizance of Multivariate Temporal Tabular Data Using Machine Learning. VAST 2019: 136-137
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