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Connor Gramazio, PhD 2017

Publications

 

Publications

2018

[Gramazio et al., 2018]
Connor Gramazio, Jeff Huang, and David H. Laidlaw. An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts. IEEE Transactions on Visualization and Computer Graphics, 24(8), August 2018. (bibtex: Gramazio-2018-AAV).

2017

[Gramazio et al., 2017]
Connor Gramazio, Jeff Huang, David H. Laidlaw, and Karen B. Schloss. An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts. IEEE Transactions on Visualization and Computer Graphics, 2017. (pdf) (bibtex: Gramazio-2017-AAV).

2016

[Gramazio et al., 2016]
Connor Gramazio, David H. Laidlaw, and Karen B. Schloss. Colorgorical: Creating discriminable and preferable color palettes for information visualization. IEEE Transactions on Visualization and Computer Graphics, 2016. (bibtex: Gramazio-2016-CCD).

2015

[Leiserson et al., 2015]
Mark D.M. Leiserson, Connor Gramazio, Jason Hu, Hsin-Ta Wu, David H. Laidlaw, and Benjamin J. Raphael. MAGI: visualization and collaborative annotation of genomic aberrations. Nature Methods, 12(6):483--484, 2015. (pdf) (bibtex: Leiserson-2015-MVC).

2014

[Gramazio et al., 2014]
Connor Gramazio, Karen B. Schloss, and David H. Laidlaw. The relation between visualization size, grouping, and user performance. In IEEE Transactions on Visualization and Computer Graphics, volume 20, pages 1953--1962, 2014. (pdf) (bibtex: Gramazio-2014-RVS).
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