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ORCIDVisual Informatics, Volume 4
Volume 4, Number 1, March 2020
- Fan Zhang
, Hang Yu, Jie Jiang, Zhangye Wang, Xujia Qin:
Brain-computer control interface design for virtual household appliances based on steady-state visually evoked potential recognition. 1-7 - Ruochen Cao, Subrata Dey, Andrew Cunningham, James A. Walsh, Ross T. Smith, Joanne E. Zucco, Bruce H. Thomas:
Examining the use of narrative constructs in data videos. 8-22 - Kadri Umbleja, Manabu Ichino, Hiroyuki Yaguchi:
Improving symbolic data visualization for pattern recognition and knowledge discovery. 23-31 - Georgios Lampropoulos, Euclid Keramopoulos, Konstantinos I. Diamantaras:
Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review. 32-42 - Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian:
OnionGraph: Hierarchical topology+attribute multivariate network visualization. 43-57 - Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen:
AntVis: A web-based visual analytics tool for exploring ant movement data. 58-70
Volume 4, Number 2, June 2020
- Kwan-Liu Ma, Han-Wei Shen:
Foreword to the Special Issue on PacificVis 2020 Workshop on Visualization Meets AI. 71 - Rongchen Guo, Takanori Fujiwara, Yiran Li, Kelly M. Lima, Soman Sen, Nam K. Tran, Kwan-Liu Ma:
Comparative visual analytics for assessing medical records with sequence embedding. 72-85 - Loann Giovannangeli, Romain Bourqui, Romain Giot, David Auber:
Toward automatic comparison of visualization techniques: Application to graph visualization. 86-98 - Jingyi Shen, Runqi Wang, Han-Wei Shen:
Visual exploration of latent space for traditional Chinese music. 99-108 - Wenbin He, Junpeng Wang, Hanqi Guo, Han-Wei Shen, Tom Peterka:
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks. 109-121 - Yiran Li, Takanori Fujiwara, Yong K. Choi, Katherine K. Kim, Kwan-Liu Ma:
A visual analytics system for multi-model comparison on clinical data predictions. 122-131 - Piyush Chawla, Subhashis Hazarika, Han-Wei Shen:
Token-wise sentiment decomposition for ConvNet: Visualizing a sentiment classifier. 132-141
Volume 4, Number 3, September 2020
- Xiaoyan Kui, Huihao Lv, Zhengliang Tang, Haowen Zhou, Wang Yang, Jinqiu Li, Jialin Guo, Jiazhi Xia:
TVseer: A visual analytics system for television ratings. 1-11 - Honghui Mei, Huihua Guan, Chengye Xin, Xiao Wen, Wei Chen:
DataV: Data Visualization on large high-resolution displays. 12-23 - Sujia Zhu, Guodao Sun, Qi Jiang, Meng Zha, Ronghua Liang:
A survey on automatic infographics and visualization recommendations. 24-40 - Chris Bryan, Aditi Mishra, Hidekazu Shidara, Kwan-Liu Ma:
Analyzing gaze behavior for text-embellished narrative visualizations under different task scenarios. 41-50 - Yiting Wang, Ting Wang, Ying Cui, Honghui Mei, Xiao Wen, Jinzhi Lu, Wei Chen:
COVID-19 data visualization public welfare activity. 51-54 - Yong Wang:
Visualization Research Lab at HKUST. 55-62 - Chaoli Wang:
Visualization Laboratory at University of Notre Dame. 63-68 - Zihao Wang, Hongwei Lin:
3D shape retrieval based on Laplace operator and joint Bayesian model. 69-76
Volume 4, Number 4, December 2020
- Jimeng Li:
Publisher's Note. iii - Quang Vinh Nguyen, Natalie Miller, David Arness, Weidong Huang, Mao Lin Huang, Simeon Simoff:
Evaluation on interactive visualization data with scatterplots. 1-10 - Roger A. Leite, Alessio Arleo, Johannes Sorger, Theresia Gschwandtner, Silvia Miksch:
Hermes: Guidance-enriched Visual Analytics for economic network exploration. 11-22 - Bruno Pinaud, Jason Vallet, Guy Melançon:
On visualization techniques comparison for large social networks overview: A user experiment. 23-34 - GuHyun Han, Jaemin Jo, Han Joo Chae, Jinwook Seo:
Human-Computer Interaction Lab (HCIL) in Seoul National University. 35-39 - Tim Dwyer, Maxime Cordeil, Tobias Czauderna, Pari Delir Haghighi, Barrett Ens, Sarah Goodwin, Bernhard Jenny, Kim Marriott, Michael Wybrow:
The Data Visualisation and Immersive Analytics Research Lab at Monash University. 41-49 - Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or:
Implicit pairs for boosting unpaired image-to-image translation. 50-58
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