Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Semantic segmentation often suffers from significant performance degradation when the trained netw...
Zero-shot named entity recognition (NER) is the task of detecting named entities of specific types...
This research presents preliminary work to address the challenge of identifying at-risk students u...
Clinical trials are an indispensable part of the drug development process, bridging the gap betwee...
The expansion of artificial intelligence (AI) applications has driven substantial investment in co...
Image inpainting is an important image generation task, which aims to restore corrupted image from...
This study explores the integration of Agent AI with LangGraph to enhance real-time data analysis ...
Multimodal learning has recently gained significant popularity, demonstrating impressive performan...
Emergency communication systems face disruptions due to packet loss, bandwidth constraints, poor s...
The integration of artificial intelligence [AI] into clinical trials has revolutionized the proces...
Fine-grained remote sensing image segmentation is essential for accurately identifying detailed ob...
Recent success of text-to-image (T2I) generation and its increasing practical applications, enable...
The growing integration of Artificial Intelligence (AI) into Human Resources (HR) processes has tr...
Recent developments in the unsupervised domain adaptation (UDA) enable the unsupervised machine le...
Applying pseudo labeling techniques has been found to be advantageous in semi-supervised 3D object...
Beyond the success of Contrastive Language-Image Pre-training (CLIP), recent trends mark a shift t...
Image restoration (IR) aims to recover high-quality images from degraded inputs, with recent deep ...
Vision-language models (VLMs) have shown remarkable success across various multi-modal tasks, yet ...
This project investigates factors that influence the perceived helpfulness of Amazon product revie...
Cancer clinical trials often face challenges in recruitment and engagement due to a lack of partic...
Determining whether two sets of images belong to the same or different domain is a crucial task in...