Latest AI and machine learning research in medicare for healthcare professionals.
Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for t...
Catheter ablation of Atrial Fibrillation (AF) consists of a one-size-fits-all treatment with limit...
The sharing of large-scale transportation data is beneficial for transportation planning and polic...
Wide coverage and high-precision rural household wealth data is an important support for the effec...
We introduce Long-VITA, a simple yet effective large multi-modal model for long-context visual-lan...
The perspective of developing trustworthy AI for critical applications in science and engineering ...
The integration of renewable energy into electricity markets poses significant challenges to price...
TerraQ is a spatiotemporal question-answering engine for satellite image archives. It is a natural...
Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating ...
Large language models (LLMs) have shown impressive capabilities in natural language processing tas...
Cognitive diagnosis can infer the students' mastery of specific knowledge concepts based on histor...
In recent years, Transformers-based models have made significant progress in the field of image re...
Conformal prediction is an emerging technique for uncertainty quantification that constructs predi...
Conformal inference provides a rigorous statistical framework for uncertainty quantification in ma...
We introduce Qwen2.5-1M, a series of models that extend the context length to 1 million tokens. Co...
Integrated sensing and communication (ISAC) boosts network efficiency by using existing resources ...
Post-hoc calibration of pre-trained models is critical for ensuring reliable inference, especially...
Long-tailed classification is challenging due to its heavy imbalance in class probabilities. While...
Personalized speech enhancement (PSE) methods typically rely on pre-trained speaker verification m...
Genome-centric analysis of metagenomic samples is a powerful method for understanding the function...
Standard conformal prediction offers a marginal guarantee on coverage, but for prediction sets to ...