A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Machine learning (ML) models have demonstrated strong predictive performance across a broad spectrum of diseases and clinical outcomes (14). Interpretability methods, such as SHAP, provide actionable ...
Therefore, exploring a more effective predictive model is crucial for guiding the treatment of sepsis. Different emerging machine learning (ML) algorithms have been increasingly applied to develop ...
Abstract: In an industrial context, monitoring machine conditions is essential to ensure regular production and maintain equipment. Traditional approaches, such as reactive and preventive maintenance, ...
Abstract: This paper presents an innovative computational framework that combines systematic literature review methodology with machine learning techniques to analyze Foundation Models (FMs) ...