Visual analytics (VA) tools support data exploration by helping analysts...
Machine learning (ML) methods are proliferating in scientific research.
...
Visualization for machine learning (VIS4ML) research aims to help expert...
Designing responsive visualizations for various screen types can be tedi...
Understanding how helpful a visualization is from experimental results i...
The average causal effect can often be best understood in the context of...
Scientists often use meta-analysis to characterize the impact of an
inte...
Designing responsive visualizations can be cast as applying transformati...
Recent concerns that machine learning (ML) may be facing a reproducibili...
Organizations often collect private data and release aggregate statistic...
Probabilistic graphs are challenging to visualize using the traditional
...
In many real-world strategic settings, people use information displays t...
Analysts often make visual causal inferences about possible data-generat...
Authors often transform a large screen visualization for smaller display...
The computer science research community and the broader public have beco...
Increased access to mobile devices motivates the need to design communic...
Research and development in computer science and statistics have produce...
Making conjectures about future consequences of a technology is an exerc...
A Bayesian view of data interpretation suggests that a visualization use...
Uncertainty visualizations often emphasize point estimates to support
ma...
As the use of machine learning (ML) models in product development and
da...
Clear presentation of uncertainty is an exception rather than rule in me...
Students who eat breakfast more frequently tend to have a higher grade p...
To make evidence-based recommendations to decision-makers, researchers
c...
People naturally bring their prior beliefs to bear on how they interpret...