As a popular concept proposed in the field of psychology, affordance has been regarded as
one of the important abilities that enable humans to understand and interact with the …

Automatic visualization generates meaningful visualizations to support data analysis and
pattern finding for novice or casual users who are not familiar with visualization design …

Recent years have witnessed growing interest in understanding the sensitivity of machine
learning to training data characteristics. While researchers have claimed the benefits of …

Active learning (AL) systems have become increasingly popular for various applications in
machine learning (ML), including medical imaging, environmental monitoring, and …

Labeling of datasets is an essential task for supervised and semi-supervised machine
learning. Model-based active learning and user-based interactive labeling are two …

The advances in multi-modal foundation models (FMs)(eg, CLIP and LLaVA) have facilitated
the auto-labeling of large-scale datasets, enhancing model performance in challenging …

The domain of cyber-physical-social (CPS) big data is generally defined as the set
consisting of all the elements in its defined domain, including domains of data, objects …

In Greek art, the phase from 900 to 700 BCE is referred to as the Geometric period due to the
characteristically simple geometry-like ornamentations appearing on painted pottery …

The practice of applying a classifier (called a pattern classifier and abbreviated as PC
below) in a visual analysis system to identify patterns from interactively generated …

Objective. The effects of different algorithms on detecting and tracking moving objects in
images based on computer vision technology are studied, and the best algorithm scheme is …