Recently, there has been a growing interest in developing machine learni...
Graph Neural Networks (GNNs) are powerful tools for learning representat...
We apply the ultraspherical spectral method to solving time-dependent PD...
Detecting testimonial injustice is an essential element of addressing
in...
The widespread adoption of Machine Learning systems, especially in more
...
Effective building pattern recognition is critical for understanding urb...
Despite recent success of self-supervised based contrastive learning mod...
With the onset of the COVID-19 pandemic, news outlets and social media h...
With the growth of large data as well as large-scale learning tasks, the...
Human video instance segmentation plays an important role in computer
un...
The California Innocence Project (CIP), a clinical law school program ai...
Meta-analysis is a systematic approach for understanding a phenomenon by...
The era of big data provides researchers with convenient access to copio...