We introduce a Large Language Model (LLM) framework that generates rich ...
Visual clustering is a common perceptual task in scatterplots that suppo...
Dimensionality reduction (DR) techniques inherently distort the original...
A common way to evaluate the reliability of dimensionality reduction (DR...
Large-scale Text-to-image Generation Models (LTGMs) (e.g., DALL-E),
self...
We address the lack of reliability in benchmarking clustering techniques...
We introduce Uniform Manifold Approximation with Two-phase Optimization
...
Social support in online mental health communities (OMHCs) is an effecti...
Brushing is an everyday interaction in 2D scatterplots, which allows use...
We propose Steadiness and Cohesiveness, two novel metrics to measure the...
Software developers explore and inspect software repository data to obta...
Git metadata contains rich information for developers to understand the
...
We present a systematic review on three comparative layouts (i.e.,
juxta...