Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Balancing content fidelity and artistic style is a pivotal challenge in image generation. While tr...
How can we effectively and efficiently learn node representations in signed bipartite graphs? A si...
The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...
This paper presents the Visual Optical Recognition Telemetry EXtraction (VORTEX) system for extrac...
ImageNet, an influential dataset in computer vision, is traditionally evaluated using single-label...
The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating compute...
Knowledge graphs (KGs), which store an extensive number of relational facts, serve various applica...
Speech brain-computer interfaces aim to decipher what a person is trying to say from neural activi...
Motor-evoked potentials (MEPs) are among the few directly observable responses to external brain s...
Recent deep learning workloads exhibit dynamic characteristics, leading to the rising adoption of ...
This report presents the comprehensive implementation, evaluation, and optimization of Denoising D...
Advancements in multimodal Large Language Models (LLMs), such as OpenAI's GPT-4o, offer significan...
Automating brain tumor segmentation using deep learning methods is an ongoing challenge in medical...
Scene generation is crucial to many computer graphics applications. Recent advances in generative ...
This work presents the BanglishRev Dataset, the largest e-commerce product review dataset to date ...
A series of modified cognitive-only particle swarm optimization (PSO) algorithms effectively mitig...
With the rapid development of artificial intelligence technology, its application in the optimizat...
This study investigates the trade-offs between fairness, privacy, and utility in image classificat...
Accurate environment maps are a key component in rendering photorealistic outdoor scenes with cohe...
Graduated optimization is a global optimization technique that is used to minimize a multimodal no...
Visual generation has witnessed remarkable progress in single-image tasks, yet extending these cap...