Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The integration of artificial intelligence into hearing assistance marks a paradigm shift from tra...
Machine learning (ML) tools offer new opportunities in drug discovery, especially for enhancing our ...
Recent advances in LLMs have greatly improved general-domain NLP tasks. Yet, their adoption in cri...
Machine learning-based decision support systems are increasingly deployed in clinical settings, wh...
As machine learning systems increasingly rely on data subject to privacy regulation, selectively u...
Accurate segmentation of white matter hyperintensities (WMH) is crucial for clinical decision-maki...
Mixture-of-Experts (MoE) models have emerged as a cornerstone of large-scale deep learning by effi...
Multimodal foundation models have achieved impressive progress across a wide range of vision-langu...
Multimodal Large Models (MLLMs) have achieved remarkable progress in vision-language understanding...
Optical coherence tomography (OCT) has sufficient depth penetration for detection of skin pathologie...
The synthesis of adaptive gain-scheduling controller is discussed for continuous-time linear model...
Conventional operating system scheduling algorithms are largely content-ignorant, making decisions...
Recent advances in deep learning (DL) have led to a shift from traditional 64-bit floating point (...
Incomplete multi-modal medical image segmentation faces critical challenges from modality imbalanc...
With the rapid growth of Internet services, recommendation systems play a central role in deliveri...
Accurate automatic screening of minors in unconstrained images demands models that are robust to d...
Diffusion models (DMs) have achieved significant progress in text-to-image generation. However, th...
Safe deployment of machine learning (ML) models in safety-critical domains such as medical imaging...
Autonomous agents powered by multimodal large language models have been developed to facilitate ta...
A heterogeneous micro aerial vehicles (MAV) swarm consists of resource-intensive but expensive adv...
In many settings in science and industry, such as drug discovery and clinical trials, a central ch...