Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

The recent increase in computational capability has led to an unprecedented increase in the
range of new applications where machine learning can be used in real time …

Supporting the translation from natural language (NL) query to visualization (NL2VIS) can
simplify the creation of data visualizations because if successful, anyone can generate …

Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Natural language (NL) is a promising interaction paradigm for data visualization (VIS).
However, there are not any NL to VIS (NL2VIS) benchmarks available. Our goal is to provide …

Machine learning (ML) has widespread applications and has revolutionized many
industries, but suffers from several challenges. First, sufficient high-quality training data is …

Outlier detection is critical to a large number of applications from finance fraud detection to
health care. Although numerous approaches have been proposed to automatically detect …

Given a dataset with incomplete data (eg, missing values), training a machine learning
model over the incomplete data requires two steps. First, it requires a data-effective step that …

Industry 4.0 derived technologies have the potential to enable a new wave of digital
manufacturing solutions for semi and fully automated production. In addition, this paradigm …

Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …