Name
Title | ||
|---|---|---|
An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts. |
Abstract | ||
|---|---|---|
We show how mouse interaction log classification can help visualization toolsmiths understand how their tools are used “in the wild” through an evaluation of MAGI - a cancer genomics visualization tool. Our primary contribution is an evaluation of twelve visual analysis task classifiers, which compares predictions to task inferences made by pairs of genomics and visualization experts. Our evaluati... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVCG.2017.2734659 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Visualization,Mice,Tools,Cancer,Genomics,Bioinformatics | Data mining,Task analysis,Computer science,Visual analytics,Theoretical computer science,Artificial intelligence,Classifier (linguistics),Random forest,Inference,Visualization,Support vector machine,Interactive visualization,Machine learning | Journal |
Volume | Issue | ISSN |
24 | 8 | 1077-2626 |
Citations | PageRank | References |
2 | 0.34 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Connor Gramazio | 1 | 75 | 4.31 |
| Jeff Huang | 2 | 784 | 42.90 |
| David H. Laidlaw | 3 | 1781 | 234.58 |