David Gotz, Ph.D.

2005 University of North Carolina, Chapel Hill, Chapel Hill, NC 
Computer Science
"David Gotz"


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Ketan Mayer-Patel grad student 2005 UNC Chapel Hill
 (Channel set adaptation: Scalable and adaptive streaming for non-linear media.)
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Cao N, Lin YR, Gotz D. (2016) UnTangle Map: Visual Analysis of Probabilistic Multi-Label Data. Ieee Transactions On Visualization and Computer Graphics. 22: 1149-1163
Gotz D, Sun S, Cao N. (2016) Adaptive contextualization: Combating bias during high-dimensional visualization and data selection International Conference On Intelligent User Interfaces, Proceedings Iui. 7: 85-95
Gotz D, Borland D. (2016) Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization Ieee Computer Graphics and Applications. 36: 90-96
Meyer AM, Gotz D. (2015) A new privacy debate. Science (New York, N.Y.). 348: 194
Caban JJ, Gotz D. (2015) Visual analytics in healthcare--opportunities and research challenges. Journal of the American Medical Informatics Association : Jamia. 22: 260-2
Zhang Z, Gotz D, Perer A. (2015) Iterative cohort analysis and exploration Information Visualization. 14: 289-307
Lin YR, Cao N, Gotz D, et al. (2015) UnTangle: Visual Mining for Data with Uncertain Multi-labels via Triangle Map Proceedings - Ieee International Conference On Data Mining, Icdm. 2015: 340-349
Gotz D, Stavropoulos H. (2014) DecisionFlow: Visual Analytics for High-Dimensional Temporal Event Sequence Data. Ieee Transactions On Visualization and Computer Graphics. 20: 1783-92
Stolper CD, Perer A, Gotz D. (2014) Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics. Ieee Transactions On Visualization and Computer Graphics. 20: 1653-62
Gotz D, Wang F, Perer A. (2014) A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data. Journal of Biomedical Informatics. 48: 148-59
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