Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Deep neural networks (DNNs) have recently become the leading method for low-light image enhancemen...
In many applications, especially those involving prediction, models may yield near-optimal perform...
Clinical trials are crucial for assessing new treatments; however, recruitment challenges - such a...
Small language models (SLMs) support efficient deployments on resource-constrained edge devices, b...
Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. S...
The balance between stability and plasticity remains a fundamental challenge in pretrained model-b...
Time series classification (TSC) is an important task in time series analysis. Existing TSC method...
Training diffusion models (DMs) requires substantial computational resources due to multiple forwa...
Knowledge discovery is hindered by the increasing volume of publications and the scarcity of exten...
Recent advances in large pre-trained models showed promising results in few-shot learning. However...
Early exiting has recently emerged as a promising technique for accelerating large language models...
Continual learning empowers models to learn from a continuous stream of data while preserving prev...
Human pose estimation is a critical tool across a variety of healthcare applications. Despite sign...
Balancing fidelity and editability is essential in text-based image editing (TIE), where failures ...
We applied machine learning techniques to build models that predict perceived risks and benefits of ...
Implicit neural representations (INRs), which leverage neural networks to represent signals by map...
Unsupervised Domain Adaptation (UDA) leverages labeled source data to train models for unlabeled t...
Personalized facial expression recognition (FER) involves adapting a machine learning model using ...
Generating multiple new concepts remains a challenging problem in the text-to-image task. Current ...
As AI takes on increasingly complex roles in human-computer interaction, fundamental questions ari...
As concerns regarding privacy in deep learning continue to grow, individuals are increasingly appr...