Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Abstract: This paper investigates the empirical relationship between predictive performance, often called predictive power, and interpretability of various Machine Learning algorithms, focusing on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback