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Todd Eaglin
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2010 – 2019
- 2019
- [j2]Omar ElTayeby
, Todd Eaglin, Malak Abdullah
, David Burlinson, Wenwen Dou, Lixia Yao:
A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data. Health Informatics J. 25(4) (2019) - 2017
- [c7]Todd Eaglin, Isaac Cho, William Ribarsky:
Space-Time Kernel Density Estimation for Real-Time Interactive Visual Analytics. HICSS 2017: 1-10 - [c6]Omar ElTayeby
, Todd Eaglin, Malak Abdullah
, David Burlinson, Wenwen Dou, Lixia Yao:
Detecting Drinking-Related Contents on Social Media by Classifying Heterogeneous Data Types. IEA/AIE (2) 2017: 364-373 - 2016
- [c5]Todd Eaglin, Xiaoyu Wang, Bill Ribarsky:
Interactive Visual Analytics in Support of Image-Encoded LiDAR Analysis. Visualization and Data Analysis 2016: 1-9 - 2015
- [j1]Jack Guest, Todd Eaglin, Kalpathi R. Subramanian, William Ribarsky:
Interactive analysis and visualization of situationally aware building evacuations. Inf. Vis. 14(3): 204-222 (2015) - [c4]Sebastian Mittelstädt, Xiaoyu Wang, Todd Eaglin, Dennis Thom, Daniel A. Keim, William J. Tolone, William Ribarsky:
An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures. HICSS 2015: 1118-1127 - [c3]Todd Eaglin, Xiaoyu Wang, William Ribarsky, William J. Tolone:
Ensemble visual analysis architecture with high mobility for large-scale critical infrastructure simulations. Visualization and Data Analysis 2015: 939706 - 2013
- [c2]Todd Eaglin, Kalpathi R. Subramanian, Jamie Payton:
3D modeling by the masses: A mobile app for modeling buildings. PerCom Workshops 2013: 315-317 - [c1]Jack Guest, Todd Eaglin, Kalpathi R. Subramanian, William Ribarsky:
Visual analysis of situationally aware building evacuations. Visualization and Data Analysis 2013: 86540G
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