David Gotz, Ph.D.
Affiliations: | 2005 | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Computer ScienceGoogle:
"David Gotz"Parents
Sign in to add mentorKetan Mayer-Patel | grad student | 2005 | UNC Chapel Hill | |
(Channel set adaptation: Scalable and adaptive streaming for non-linear media.) |
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Publications
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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 |