VAST

Publications

2019

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)
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)
Haysn Hornbeck, Usman R. Alim
UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Likert Scales. VAST (2019)
Melanie Tory, Vidya Setlur
Do What I Mean, Not What I Say! Design Considerations for Supporting Intent and Context in Analytical Conversation. VAST (2019)
Wenjie Wu, Zheng Zhou, Yingjie Victor Chen, Zhenyu Cheryl Qian
HeatMosaic: Interactive Uncertainty Analysis of Disaster Events: 2019 VAST Challenge Honorable Mention Award for Visualization of Uncertainty. VAST (2019)
James Scott-Brown
Visualization of Spatial-Temporal Distribution of Radioactivity Measurements. VAST (2019)
Mengyang Zhang, Kaokao Lv, Liang Tang, Chuanming Huang, Zhaokang Yuan, Xiaobo Luo, Zhengyan Yu, Lingjun He, Zhuo Zhang
Visual Analysis for Messages in Social Media. VAST (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)
Natthawut Adulyanukosol
Earthquake Damage Report Interactive Dashboard Using Bayesian Structural Time Series and Value-Suppressing Uncertainty Palettes. VAST (2019)
Johannes Knittel, Steffen Koch, Thomas Ertl
Pattern-Based Semantic and Temporal Exploration of Social Media Messages. VAST (2019)
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)
Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park
TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling. VAST (2019)
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)
Datong Wei, Hanning Shao, Zijing Tan, Chenlu Li, Zhixian Lin, Xiaoju Dong, Xiaoru Yuan
Award for Outstanding Comprehensive Mini-Challenge 2 Solution - RadiationMonitor: An Interactive System for Visualizing and Exploring Spatial-Temporal Data. VAST (2019)
Johanna Drucker
VIS Capstone Address: Visualizing Temporality and Chronologies for the Humanities. VAST (2019)
Nicolas Médoc, Hélène Bourgoin, Philippe Pinheiro, Mohammad Ghoniem
Using a Multi-Level and Multi-Resolution Visual Analytics Software to Understand the Aftermath of a Catastrophe. VAST (2019)
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)
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)
Haysn Hornbeck, Usman R. Alim
UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Radiation Data. VAST (2019)
Huyen N. Nguyen, Tommy Dang
EQSA: Earthquake Situational Analytics from Social Media. VAST (2019)
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)
Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST (2019)
Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie
Influence Flowers of Academic Entities. VAST (2019)
14th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2019, Vancouver, BC, Canada, October 20-25, 2019 VAST (2019)
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)
Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu
Interactive Correction of Mislabeled Training Data. VAST (2019)
Alex Bigelow, Carolina Nobre, Miriah Meyer, Alexander Lex
Origraph: Interactive Network Wrangling. VAST (2019)
Shaobin Xu, Yiming Lin, Dezhan Qu, Ke Ren, Huijie Zhang
MC2 - SUA: A Sensor Uncertainty Analysis Tool of Radiation Measurement Data (VAST Challenge 2019 Award - Integrated Tool with Rich Data Encodings). VAST (2019)
Martin Pustilnik, Mariano Besio
Social Media Text Streaming Visualization. VAST (2019)
Fabian Nagel, Giuliano Castiglia, Gemza Ademaj, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data. VAST (2019)
James Scott-Brown
Visualization of Spatial-Temporal Distribution of Damage Reports. VAST (2019)
Anjul Tyagi, Zhen Cao, Tyler Estro, Erez Zadok, Klaus Mueller
ICE: An Interactive Configuration Explorer for High Dimensional Categorical Parameter Spaces. VAST (2019)
Katy Börner
VIS Keynote Address: Data Visualization Literacy. VAST (2019)
Fabian Sperrle, Rita Sevastjanova, Rebecca Kehlbeck, Mennatallah El-Assady
VIANA: Visual Interactive Annotation of Argumentation. VAST (2019)
Shichao Jia, Jiaqi Wang, Zeyu Li, Jiawan Zhang
Interactive Ranking Uncertain Multivariate Ordinal Time Series. VAST (2019)

2018