Selecting relevant data subsets from large, unfamiliar datasets can be
d...
Graph Neural Networks (GNNs) have become increasingly important in recen...
Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...
Online shopping gives customers boundless options to choose from, backed...
Designing responsive visualizations can be cast as applying transformati...
Although we have seen a proliferation of algorithms for recommending
vis...
Machine learning (ML) is increasingly applied to Electronic Health Recor...
Visualization recommendation systems simplify exploratory data analysis ...
Visual data storytelling is gaining importance as a means of presenting
...
Visualization recommendation work has focused solely on scoring
visualiz...
When designing infographics, general users usually struggle with getting...
Visualization recommendation seeks to generate, score, and recommend to ...
Using causal relations to guide decision making has become an essential
...
While decision makers have begun to employ machine learning, machine lea...
Machine learning models often make predictions that bias against certain...