Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Edge devices like Nvidia Jetson platforms now offer several on-board accelerators -- including GPU...
Latent Diffusion Models (LDMs) are known to have an unstable generation process, where even small ...
Visual attention plays a critical role when our visual system executes active visual tasks by inte...
The future of artificial intelligence (AI) acceleration demands a paradigm shift beyond the limita...
This paper proposes a medical text summarization method based on LongFormer, aimed at addressing t...
The growing deployment of large Vision-Language Models (VLMs) exposes critical safety gaps in thei...
The integration of Artificial Intelligence (AI) into Integrated Development Environments (IDEs) is...
In histopathology, intelligent diagnosis of Whole Slide Images (WSIs) is essential for automating ...
String matching is a fundamental problem in computer science, with critical applications in text r...
Zero-shot Composed Image Retrieval (ZS-CIR) aims to retrieve the target image based on a reference...
Weakly supervised multiple instance learning (MIL) is a challenging task given that only bag-level...
Existing state-of-the-art feature matchers capture long-range dependencies with Transformers but a...
Training vision-language models for image-text alignment typically requires large datasets to achi...
Pathological diagnosis plays a critical role in clinical practice, where the whole slide images (W...
In many practical applications of machine learning, a discrepancy often arises between a source di...
The Agile Earth Observation Satellite Scheduling Problem (AEOSSP) entails finding the subset of ob...
Diffusion models have shown promising generative capabilities across diverse domains, yet aligning...
BACKGROUND: Adequate patient awareness and understanding of cancer clinical trials is essential for ...
Clinical trial eligibility matching is a critical yet often labor-intensive and error-prone step i...
Histopathology and transcriptomics are fundamental modalities in oncology, encapsulating the morph...
Federated Learning (FL) is an approach for privacy-preserving Machine Learning (ML), enabling mode...