David Gotz, Ph.D.

Affiliations: 
2005 University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Computer Science
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"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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Publications

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Borland D, Brain I, Fecho K, et al. (2021) Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. Arxiv
Guo Y, Guo S, Jin Z, et al. (2021) Survey on Visual Analysis of Event Sequence Data. Ieee Transactions On Visualization and Computer Graphics
Guo S, Jin Z, Chen Q, et al. (2021) Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. Ieee Transactions On Visualization and Computer Graphics
Borland D, Zhang J, Kaul S, et al. (2020) Selection-Bias-Corrected Visualization via Dynamic Reweighting. Ieee Transactions On Visualization and Computer Graphics
Jin Z, Guo S, Chen N, et al. (2020) Visual Causality Analysis of Event Sequence Data. Ieee Transactions On Visualization and Computer Graphics
Kaul S, Coleman C, Gotz D. (2020) A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic. Journal of the American Medical Informatics Association : Jamia
Coleman C, Gotz D, Eaker S, et al. (2020) Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds. Health Information Management : Journal of the Health Information Management Association of Australia. 1833358320920589
Gotz D, Zhang J, Wang W, et al. (2019) Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. Ieee Transactions On Visualization and Computer Graphics
Borland D, Wang W, Zhang J, et al. (2019) Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. Ieee Transactions On Visualization and Computer Graphics
Wu DTY, Chen AT, Manning JD, et al. (2019) Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. Journal of the American Medical Informatics Association : Jamia. 26: 314-323
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