BigDataGrapes Data Visualizations at EuroVis2020 Conference

This week our colleagues from KU Leuven presented at the virtual session of EuroVis2020 Conference their approach to designing a novel system for correlation visualization, GaCoVi. GaCoVi is implemented in the context of Big Data Grapes and is designed to put domain experts in the loop of feature selection for regression models in scenarios where transparency of the machine learning systems is crucial. Learn more on how it helps viticulture and vinification domain experts:

The conference paper is available here and a live demo of GaCoVi for wine and vine experts is available here.