Objective: This study aimed to develop and validate a novel transformer-based model, referred to as the BA–CA gap model, for BA estimation that incorporates morbidity and mortality information to ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Marc Santos is a Guides Staff Writer from the Philippines. He's a seasoned writer with over four years of industry experience, and he is an enjoyer of all things difficult in gaming. If Marc's not ...
Medical Artificial Intelligence and Automation Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States Introduction: Head and neck squamous cell carcinomas ...
The Nephoran Intent Operator is a proof-of-concept cloud-native platform that demonstrates the potential of intent-driven telecommunications orchestration. This MVP showcases how natural language ...
Abstract: Retail transactions time series analysis helps the super market to analyze the customer behavior based on their purchases. It helps the super market to increase their sales based on the ...
1 Chongqing Jiulongpo District Yuzhou Road Street Community Health Service Center, Chongqing, China 2 Department of Rheumatology and Immunology, Center for Immune Ageing and Rejuvenation, The First ...
Abstract: Multi-modal emotion recognition plays a crucial role in human-computer interaction. Nowadays, many studies have developed fusion algorithms for this purpose. However, two challenges are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback