Traffic accidents threaten human lives and impose substantial financial burdens annually.
Accurate estimation of accident fatal crash risk is crucial for enhancing road safety and …

The application of domain adaptation techniques has emerged as a valuable approach for
reducing the cost of data annotation in object recognition domains. Despite its usefulness …

With advanced neural network techniques, language models can generate content that
looks genuinely created by humans. Such advanced progress benefits society in numerous …

It has become standard to explain neural network latent spaces with attraction/repulsion
dimensionality reduction (ARDR) methods like tSNE and UMAP. This relies on the premise …

Few-shot single-view 3D reconstruction learns to reconstruct the novel category objects
based on a query image and a few support shapes. However, since the query image and the …

Domain Adaptation (DA) has received widespread attention from deep learning researchers
in recent years because of its potential to improve test accuracy with out-of-distribution …

Many natural language related applications involve text generation, created by humans or
machines. While in many of those applications machines support humans, yet in few …

With the evolution of applications of text generations in social networks, the genuineness of
such text is questioned. Machine learning language based models such as GPT now can …

SQL injection (SQLi) attacks continue to severely threaten application security, allowing
malicious actors to exploit web input and manipulate an application's database with …

Modern neural network models have demonstrated exceptional classification capabilities
comparable to human performance in various medical diagnosis tasks. However, their …