Stop deploying AI models with inflated performance scores. Sleuth detects hidden bias caused by tweaking hyperparameters, prompts, or datasets during evaluation—breaking circular reasoning in AI ...

Abstract: Monitoring rainfall is becoming increasingly important due to the impacts of climate change. In this context, opportunistic sensing based on satellite microwave links (SMLs) is gaining ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A University of Wyoming alumnus and a UW professor of statistics have published a study proposing the use of spatially ...

Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...