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VAiRoma: A Visual Analytics System for Making Sense of Places, Times, and Events in Roman History

Isaac Cho, Wewnen Dou, Derek Xiaoyu Wang, Eric Sauda, William Ribarsky
2016 IEEE Transactions on Visualization and Computer Graphics  
To this aim, we introduce VAiRoma, a visual analytics system that couples state-of-the-art text analysis methods with an intuitive visual interface to help users make sense of events, places, times, and  ...  In this paper, we propose a visual analytics approach to construct a data driven view of Roman history based on a large collection of Wikipedia articles.  ...  In summary, we present a visual analytics approach to help people gain knowledge through making connections on places, times, and events.  ... 
doi:10.1109/tvcg.2015.2467971 pmid:26529701 fatcat:llf5zilnazau7jmdxipvyhtkla

The State of the Art in Integrating Machine Learning into Visual Analytics

A. Endert, W. Ribarsky, C. Turkay, B.L. William Wong, I. Nabney, I. Díaz Blanco, F. Rossi
2017 Computer graphics forum (Print)  
It is through such techniques that people can make sense of large, complex data.  ...  Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning.  ...  The interlinked windows in the interface plus key topics and event peaks permit a user to quickly peruse the main events in ancient Roman history, including the rise of Christianity and the Catholic church  ... 
doi:10.1111/cgf.13092 fatcat:twl3cmkb5re2pmihg6dquwe7by

Visual exploration and comparison of multiple resume : focus on time and space

Velitchko Filipov, Silvia Miksch
We propose the design and implementation of a web application - CV3 - that is capable of comparing multiple chronologies and visualizing the output in a clear manner, whilst maintaining a clean overview  ...  Our approach supports users in filtering timeline events across all resumes, recognizing and extracting relevant information from resumes and visualizing their similarities efficiently in a single overview  ...  I thank you for the guidance and freedom to express and execute my ideas.  ... 
doi:10.34726/hss.2017.43587 fatcat:fzkbz4yr3nfujgvxr5gwi7p2ge

Space-Time Kernel Density Estimation for Real-Time Interactive Visual Analytics

Todd Eaglin, Isaac Cho, William Ribarsky
2017 Proceedings of the 50th Hawaii International Conference on System Sciences (2017)   unpublished
The resulting integrated visual analytics (VA) system permits new analyses of spatial-temporal data from a variety of sources.  ...  We present a GPU-based implementation of the Space-Time Kernel Density Estimation (STKDE) that provides massive speed up in analyzing spatialtemporal data.  ...  Sauda, and W. Ribarsky. VAiRoma: A visual analytics system for making sense of places, times, and events in roman history. IEEE Trans.  ... 
doi:10.24251/hicss.2017.165 fatcat:5fkgajhcivedxobllkybxf4emi