Latest AI and machine learning research in medicare for healthcare professionals.
We introduce a full-stack framework that scales up reasoning in vision-language models (VLMs) to l...
Conformal prediction methods are statistical tools designed to quantify uncertainty and generate p...
Instruction tuning has become a foundation for unlocking the capabilities of large-scale pretraine...
Many real-world classification problems, such as plant identification, have extremely long-tailed ...
Unlike classification, whose goal is to estimate the class of each data point in a dataset, preval...
Uniform and excessive herbicide application in modern agriculture contributes to increased input c...
Diffusion policy has demonstrated promising performance in the field of robotic manipulation. Howe...
In the context of Extreme Multi-label Text Classification (XMTC), where labels are assigned to tex...
Background: The use of Electronic Health Records (EHRs) for epidemiological studies and artificial...
Intelligent control of Unmanned Aerial Vehicles (UAVs) swarms has emerged as a critical research f...
We present VISTA (Viewpoint-based Image selection with Semantic Task Awareness), an active explora...
Deep learning methods have significantly advanced the development of intelligent rinterpretation i...
Deep learning has advanced mass spectrometry data interpretation, yet most models remain feature e...
Benefiting from the advances in large language models and cross-modal alignment, existing multimod...
Garment manipulation is a significant challenge for robots due to the complex dynamics and potenti...
High-stakes decision-making involves navigating multiple competing objectives with expensive evalu...
High-dose-rate (HDR) brachytherapy plays a critical role in the treatment of locally advanced cerv...
Purpose: In high-dose-rate (HDR) prostate brachytherapy procedures, the pattern of needle placemen...
In this paper, we examine the intersections of indigeneity and media representation in shaping per...
The CXR-LT series is a community-driven initiative designed to enhance lung disease classification...
The rapid detection of abnormal body temperatures in urban populations is essential for managing p...