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ORCID15th PacificVis 2022: Tsukuba, Japan
- 15th IEEE Pacific Visualization Symposium, PacificVis 2022, Tsukuba, Japan, April 11-14, 2022. IEEE 2022, ISBN 978-1-6654-2335-9
- Dominik Vietinghoff
, Michael Böttinger, Gerik Scheuermann, Christian Heine:
Detecting Critical Points in 2D Scalar Field Ensembles Using Bayesian Inference. 1-10 - Alexander Vieth, Anna Vilanova, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Thomas Höllt:
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images. 11-20 - Shivam Agarwal, Günter Wallner, Jeremy D. Watson, Fabian Beck:
Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks. 21-30 - Pengfei Gu, Jun Han, Danny Z. Chen, Chaoli Wang:
Scalar2Vec: Translating Scalar Fields to Vector Fields via Deep Learning. 31-40 - Dana El-Rushaidat, Raine Yeh, Xavier M. Tricoche:
Boundary-Aware Rectilinear Grid: Accurate Approximation of Unstructured Dataset into Rectilinear Grid with Solid Boundary Handling Capabilities. 41-50 - Seok-Hee Hong, Amyra Meidiana, James Wood, Juan Pablo Ataides, Peter Eades, Kunsoo Park:
dGG, dRNG, DSC: New Degree-based Shape-based Faithfulness Metrics for Large and Complex Graph Visualization. 51-60 - Jiacheng Yu, Yifan Hu, Xiaoru Yuan:
UNICON: A UNIform CONstraint Based Graph Layout Framework. 61-70 - Jacob Miller, Stephen G. Kobourov, Vahan Huroyan:
Browser-based Hyperbolic Visualization of Graphs. 71-80 - Pavol Klacansky, Haichao Miao, Attila Gyulassy, Andrew Townsend, Kyle Champley, Joseph Tringe, Valerio Pascucci, Peer-Timo Bremer:
Virtual Inspection of Additively Manufactured Parts. 81-90 - Yun-Hsin Kuo, Takanori Fujiwara, Charles C.-K. Chou, Chun-Houh Chen, Kwan-Liu Ma:
A Machine-learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data. 91-100 - Sanjana Srabanti, Michael Tran, Virginie Achim, Clifton D. Fuller, Guadalupe Canahuate, Fabio Miranda, G. Elisabeta Marai:
A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care. 101-110 - Aditi Mishra, Utkarsh Soni, Jinbin Huang, Chris Bryan:
Why? Why not? When? Visual Explanations of Agent Behaviour in Reinforcement Learning. 111-120 - Pavol Klacansky, Attila Gyulassy, Peer-Timo Bremer, Valerio Pascucci:
A Study of the Locality of Persistence-Based Queries and Its Implications for the Efficiency of Localized Data Structures. 121-130 - Aditi Mishra, Shashank Ginjpalli, Chris Bryan:
News Kaleidoscope: Visual Investigation of Coverage Diversity in News Event Reporting. 131-140 - Chengbo Zheng, Xiaojuan Ma:
Evaluating the Effect of Enhanced Text-Visualization Integration on Combating Misinformation in Data Story. 141-150 - Shisong Wang, Debajyoti Mondal, Sara Sadri, Chanchal K. Roy, James S. Famiglietti, Kevin A. Schneider:
SET-STAT-MAP: Extending Parallel Sets for Visualizing Mixed Data. 151-160 - Angelos Chatzimparmpas, Vilhelm Park, Andreas Kerren:
Evaluating StackGenVis with a Comparative User Study. 161-165 - Martin Baumann, Jena Satkunarajan, Steffen Koch, Thomas Ertl:
Hierarchical Multifocus Navigation in Text Annotation Data. 166-170 - Teng-Yok Lee:
Visualization for neural-network-based person re-identification. 171-175 - Yumiko Sakamoto, Samar Sallam, Aaron Salo, Jason Leboe-McGowan, Pourang Irani:
Persuasive Data Storytelling with a Data Video during Covid-19 Infodemic: Affective Pathway to Influence the Users' Perception about Contact Tracing Apps in less than 6 Minutes. 176-180 - Sebeom Park, Soohyun Lee, Youngtaek Kim, Hyeon Jeon, Seokweon Jung, Jinwook Bok, Jinwook Seo:
VANT: A Visual Analytics System for Refining Parallel Corpora in Neural Machine Translation. 181-185 - Tangyuan Zou, Song Wang, Hanglin Li, Yadong Wu:
Hybrid Traffic Route Visual Recommendation Based on Multilayer Complex Networks. 186-190 - Nathan Danneman, Robert Gove:
Tuning Automatic Summarization for Incident Report Visualization. 191-195 - Aosheng Cheng, Yulong Yin, Zhenyu Yan, Yuhua Liu, Zhiguang Zhou:
Visual Analytics of Multiple Network Ranking Based on Structural Similarity. 196-200
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