Latest AI and machine learning research in cultural competence for healthcare professionals.
Recent advances in generative models have sparked research on improving model fairness with AI-gen...
One-class anomaly detection aims to detect objects that do not belong to a predefined normal class...
Current research on bias in Vision Language Models (VLMs) has important limitations: it is focused...
Score-based diffusion models have achieved incredible performance in generating realistic images, ...
In recent years, the rapid development of artificial intelligence (AI) systems has raised concerns...
We developed an analytical framework for understanding how the learned distribution evolves during...
In the realm of Intelligent Tutoring System (ITS), the accurate assessment of students' knowledge ...
The double descent phenomenon, which deviates from the traditional bias-variance trade-off theory,...
Large Multimodal Models (LMMs) have emerged as powerful models capable of understanding various da...
Bayesian Neural Networks (BNNs) provide a promising framework for modeling predictive uncertainty ...
Chronic diseases such as obesity and hypertension due to malnutrition can be prevented by following ...
INTRODUCTION: Artificial intelligence (AI) has significant potential to improve health outcomes in o...
Autoregressive (AR) modeling, known for its next-token prediction paradigm, underpins state-of-the...
Leveraging the effective visual-text alignment and static generalizability from CLIP, recent video...
Face recognition (FR) stands as one of the most crucial applications in computer vision. The accur...
Generative AI (e.g., ChatGPT) is increasingly integrated into people's daily lives. While it is kn...
Machine learning systems trained on electronic health records (EHRs) increasingly guide treatment ...
STEM fields are traditionally male-dominated, with gender biases shaping perceptions of job access...
Text-to-image diffusion models often exhibit biases toward specific demographic groups, such as ge...
The debate around bias in AI systems is central to discussions on algorithmic fairness. However, t...
Large Language Models have garnered significant attention for their capabilities in multilingual n...