The results of machine learning models can often be difficult to interpret, especially for domain experts. Audio Explorer, the winning entry of the 2018 VAST Challenge, is an interactive data exploration tool that effectively communicates machine learning results, using coordinated geospatial, temporal, and auditory
visualizations to promote information discovery.
Published: April 7, 2021
Citation
Scruggs C., C. Henkel, C. Stolper, K.A. Cook, and J. Crouser. 2021.Blending Machine Learning and Interaction Design in Audio Explorer.IEEE Computer Graphics and Applications 41, no. 2:89 - 95.PNNL-SA-141120.doi:10.1109/MCG.2019.2950185