Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Functional specialization in continuous systems requires balancing adaptation to environmental stres...
Recent studies have explored using pretrained Vision Foundation Models (VFMs) such as DINO for gener...
Performance degradation due to covariate shift remains a major challenge for deep learning models in...
Estimating uncertainty in deep learning models is critical for reliable decision-making in high-stak...
Background: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pedi...
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abst...
Cross-modal image translation remains brittle and inefficient. Standard diffusion approaches often r...
Medical image artificial intelligence models often achieve strong performance in single-center or si...
The growing demand for diverse and high-quality facial datasets for training and testing biometric s...
Representation Autoencoders (RAEs) have shown distinct advantages in diffusion modeling on ImageNet ...
Supervised deep learning models often achieve excellent performance within their training distributi...
Text-Based Person Search (TBPS) has seen significant progress with vision-language models (VLMs), ye...
As a pivotal technique for improving the defense of deep models, adversarial robustness transfer via...
Background: Deep learning algorithms for tuberculosis (TB) screening frequently achieve radiologist-...
Diffusion Transformers (DiTs) achieve state-of-the-art performance in text-to-image synthesis but re...
We study the online centralized charging scheduling problem (OCCSP). In this problem, a central auth...
As the dependence on satellite imaging continues to grow, modern satellites have become increasingly...
Object detectors often perform well in-distribution, yet degrade sharply on a different benchmark. W...
The utilization of cellulose derivatives offers an eco-friendly alternative to petroleum-based polym...
Long-term continuous monitoring of volatile organic compounds (VOCs) is pivotal for climate change r...
The accurate characterization of the potential energy surface (PES) is fundamental to understanding ...