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ORCIDVAST 2017: Phoenix, AZ, USA
- Brian D. Fisher, Shixia Liu, Tobias Schreck:
12th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2017, Phoenix, AZ, USA, October 3-6, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3163-8 - Jacqueline H. Chen:
VIS Keynote Address: Analytics Inspired Visualization: a Holistic In-situ Scientific Workflow at Extreme Scale. xiii - Giorgia Lupi:
VIS Capstone Address Data Humanism: The Revolution will be Visualized. xiv
High-dimensional Data
- Dominik Jäckle, Michael Hund, Michael Behrisch
, Daniel A. Keim, Tobias Schreck:
Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. 1-12
ML1: Deep Learning
- Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu:
Understanding Hidden Memories of Recurrent Neural Networks. 13-24
Sequences and Events
- Isaac Cho, Ryan Wesslen, Svitlana Volkova, William Ribarsky, Wenwen Dou:
CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data. 25-35 - Siming Chen, Shuai Chen, Lijing Lin, Xiaoru Yuan, Jie Liang, Xiaolong Zhang:
E-Map: A Visual Analytics Approach for Exploring Significant Event Evolutions in Social Media. 36-47
Visual Representation and Design Study
- Nan-Chen Chen, Been Kim:
QSAnglyzer: Visual Analytics for Prismatic Analysis of Question Answering System Evaluations. 48-58 - Takanori Fujiwara, Preeti Malakar, Khairi Reda, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. 59-70 - Yen-Ting Kuan, Yu-Shuen Wang, Jung-Hong Chuang:
Visualizing Real-Time Strategy Games: The Example of StarCraft II. 71-80 - Dustin Arendt, Meg Pirrung:
The "y" of it Matters, Even for Storyline Visualization. 81-91
Theory and Analysis Process
- Paolo Federico, Markus Wagner, Alexander Rind, Albert Amor-Amoros, Silvia Miksch, Wolfgang Aigner:
The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. 92-103 - Emily Wall, Leslie M. Blaha, Lyndsey Franklin, Alex Endert:
Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics. 104-115 - Isaac Cho, Ryan Wesslen, Alireza Karduni, Sashank Santhanam, Samira Shaikh, Wenwen Dou:
The Anchoring Effect in Decision-Making with Visual Analytics. 116-126
Interaction in the Analysis Process
- Stefan Jänicke, David Joseph Wrisley:
Interactive Visual Alignment of Medieval Text Versions. 127-138
Sensemaking
- Haeyong Chung, Sai Prashanth Dasari, Santhosh Nandhakumar, Christopher Andrews:
CRICTO: Supporting Sensemaking through Crowdsourced Information Schematization. 139-150 - Jun Wang, Klaus Mueller:
Visual Causality Analysis Made Practical. 151-161
ML3: Classification
- Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini:
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. 162-172
Challenge
- Mark A. Whiting, Kris Cook, R. Jordan Crouser, John Fallon, Georges G. Grinstein, Jereme Haack, Cindy Henderson, Kristen Liggett, Diane Staheli, Jana D. Strasburg, Jerry D. Tagestad, Carrie Varley:
VAST Challenge 2017: Mystery at the Wildlife Preserve. 173-178 - Zheng Zhou, Sijin Wang, Wenjie Wu, Aijun Huang, Yafeng Niu, Hui Tang, Yingjie Victor Chen, Zhenyu Qian:
ClockPetals: Interactive Sequential Analysis of Traffic Patterns VAST Challenge MC1 Award: Multi-Challenge Award for Aesthetic Design. 179-180 - Hui Tang, Wenjie Wu, Zheng Zhou, Sijin Wang, Aijun Huang, Yafeng Niu, Yingjie Victor Chen, Zhenyu Cheryl Qian:
WindNebula: Vectorial-Temporal Analysis for Environmental Assessment : VAST Challenge MC2 Award: Multi-challenge Award for Aesthetic Design. 181-182 - Qiao Gu, Hang Yin, Lian Chen, Haotian Li, Chengzhong Liu, Xuanwu Yue, Huamin Qu:
PreserVis, a Visual Analytic System for Traffic and Pollution Patterns - Multi-Challenge Award for Compelling Synthesis of Information. 183-184 - Bharadwaj S. Kishan, Ong Guan Jie Jason, Yanrong Zhang, Kam Tin Seong:
Spatiotemporal identification of anomalies in a wildlife preserve VAST Grand Challenge 2017 Award: Clear Presentation of Hypotheses and Supporting Evidence. 185-186 - Chufan Lai, Qiangqiang Liu, Lu Feng, Chenglei Yue, Xi Chen, Yang Hu, Zhanyi Wang, Pengju Teng, Xiaoru Yuan:
Interactive and Collaborative Visual Analysis on Traffic Sensor Data. 187-188 - Ruike Jiang, Wei Huang, Nan Ma, Fan Hong, Ying Zhao, Xiaoru Yuan:
Temporal Pattern Analysis and Source Detection through Visual Analysis on Multi-Dimensional Time Series Data. 189-190 - Guozheng Li, Shuai Chen, Qiusheng Li, Zhibang Jiang, Yuening Shi, Qiangqiang Liu, Xi Liu, Xiaoru Yuan:
Visual Analysis for Multi-Spectral Images Comparisons. 191-192 - Bram C. M. Cappers:
Exploring Lekagul Sensor Events using Rules, Aggregations, and Selections. 193-194 - Yifei Guan, Kam Tin Seong:
Interactive Visual Analytics Application for Spatiotemporal Movement Data VAST Challenge 2017 Mini-Challenge 1: Award for Actionable and Detailed Analysis. 195-196 - Juri Buchmüller, Wolfgang Jentner, Dirk Streeb, Daniel A. Keim:
ODIX: A Rapid Hypotheses Testing System for Origin-Destination Data IEEE VAST Challenge Award for Excellence in Spatio-temporal Graph Analytics. 197-198 - Wooil Kim, Changbeom Shim, Ilhyun Suh, Yon Dohn Chung:
A Visual Explorer for Analyzing Trajectory Patterns. 199-200 - Jo Wood:
Visual Analytic Design for Detecting Airborne Pollution Sources VAST Challenge 2017 Award: Comprehensive Mini-Challenge 2 Answer. 201-202 - Joshua Castor, Joseph Borowicz, Andrew Burks, Manu Thomas, Timothy Luciani, G. Elisabeta Marai:
MC2 - Mining Factory Pollution Data through a Spatial-Nonspatial Flow Approach (Honorable Mention for Clarity in Visual Communication). 203-204 - Sulav Malla, Anwesh Tuladhar, Ghulam Jilani Quadri, Paul Rosen:
Multi-Spectral Satellite Image Analysis for Feature Identification and Change Detection VAST Challenge 2017: Honorable Mention for Good Facilitation of Single Image Analysis. 205-206 - Vijayraj Mahida, Bartosz Kupiec, Andrew Burks, Timothy Luciani, G. Elisabeta Marai:
MC3 - A Web-Based Interactive Image Explorer for Temporal Analysis of Satellite Images (Honorable Mention - Good Interactive Image Explorer). 207-208
Other submissions
- Sirisha Velampalli, Lenin Mookiah, William Eberle:
Detecting Vehicular Patterns Using a Graph-Based Approach. 209-210 - Bo Sun, Rumeel Jessamy, Sungsoo Ha, Wei Xu:
Visual Analysis to Explore Mystery at Wildlife Preserve. 211-212 - Long Hoang Nguyen, Tommy Dang:
iDVL Visualizes Patterns of Traffic. 213-214 - Chris Muller, Kevin McGurgan, Stephanie Kane:
Temporal and Spatial Analysis of VAST 2017's Mini-Challenge 1. 215-216 - Ghulam Jilani Quadri, Anwesh Tuladhar, Sulav Malla, Paul Rosen:
Visual Analytic Design for Characterizing Air-Sampling Sensor Performance and Operation. 217-218 - Udo Schlegel, Alexandra Diehl, Daniel A. Keim:
SIZE: Satellite Image Zooming and Exploration. 219-220 - Ayushi Gupta, Veera Raghavendra Chikka, Kamalakar Karlapalem:
VAST Mini-Challenge 1. 221-222 - Tim McGraw, Aijun Huang, Sijin Wang:
Multilab: Multispectral image analysis in Matlab. 223-224 - Daniel Seebacher, Bruno Schneider, Michael Behrisch:
Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. 225-226 - Michael Beham, Silvana Podaras, Rainer Splechtna, Denis Gracanin, Kresimir Matkovic:
MC1 - Iterative Analysis of Spatio-temporal Data by Textual Queries and Visualizations. 227-228 - Rainer Splechtna, Silvana Podaras, Michael Beham, Denis Gracanin, Kresimir Matkovic:
MC2 - Spatio-Temporal Provenance Data Aggregation for Visual Analysis. 229-230 - Michael Beham, Rainer Splechtna, Silvana Podaras, Denis Gracanin, Kresimir Matkovic:
MC3 - Modified Frame Differencing of Satellite Images to Detect Temporal Changes in a Natural Preserve. 231-232 - Silvana Podaras, Michael Beham, Rainer Splechtna, Denis Gracanin, Kresimir Matkovic:
GC - Holistic Analysis of Heterogeneous Datasets. 233-234 - Dimitar Kirilov, Isabel Lindmae, Andrew Burks, Chihua Ma, G. Elisabeta Marai:
MC1: A Bespoke Analysis Tool for Spatio-temporal Park Traffic Data. 235-236 - Allison Montroy, Tyler Witter, Christopher Banas, Walter D. Bennette:
Interactive Visual Analysis of Traffic Patterns: Ecological Impact within a Nature Preserve (VAST Challenge 2017). 237-238 - Anwesh Tuladhar, Sulav Malla, Ghulam Jilani Quadri, Paul Rosen:
Data Aggregation and Visualization Technique for Traffic Sensor Data. 239-240 - Jiaqi Zhang, Xintian Liu, Hongjun Qian, Tin Seong Kam:
Visualizing chemicals detection VAST 2017 Mini Challenge 2. 241-242 - Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher:
Uncovering the Mistford Toxic Conspiracy. 243-244 - Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam Shroff:
Visual Statistical Analysis of Environmental Sensor Data. 245-246 - Lijing Lin, Min Lu, Guozheng Li, Chufan Lai, Ruike Jiang, Qiangqiang Liu, Xiaoru Yuan:
Visual Analysis for Wildlife Preserve based on Muti-systems. 247-248 - Shu Zhang, Danhuai Guo, Yingqiu Zhu, Deqiang Wang:
VAST Challenge 2017: Mini-challenge 1. 249-250
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