To use reinforcement learning from human feedback (RLHF) in practical
ap...
With a constant increase of learned parameters, modern neural language m...
Many data analysis problems rely on dynamic networks, such as social or
...
With the recent release of AI interaction guidelines from Apple, Google,...
Visualization guidelines, if defined properly, are invaluable to both
pr...
Presenting long sequences of dynamic graphs remains challenging due to t...
This paper systematically derives design dimensions for the structured
e...
In this paper, we bridge the gap between visualization and musicology by...
The overview-driven visual analysis of large-scale dynamic graphs poses ...
Symmetry is an important aesthetic criteria in graph drawing and network...
Traditionally, graph quality metrics focus on readability, but recent st...
In this position paper, we frame the field of Visual Musicology by provi...
We propose the concept of Speculative Execution for Visual Analytics and...
We present a framework that allows users to incorporate the semantics of...
In this paper, we postulate that combining the domains of information
vi...
Ensembles of classifier models typically deliver superior performance an...
Invasive species are a major cause of ecological damage and commercial
l...