This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Abstract: Efficient human resource management (HRM) is based on the accurate prediction of workforce performance as it helps in identifying and fostering high-performing staff, strengthening employee ...
A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...
This repository contains the official implementation and data for the paper "Can We Predict Before Executing Machine Learning Agents?". Traditional machine learning agents rely on an iterative ...
Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
EXtreme Gradient Boosting (XGBoost), a machine learning model, outperformed more traditional methods for predicting composite major adverse events (MAEs) and many individual events in patients ...
“These findings reinforce something leaders have known intuitively for years — strong company culture isn't just good for people,” Bob Funk Jr., CEO, president and chairman of Express Employment ...
Abstract: Occupational burnout has emerged as a pressing issue in the years following the COVID-19 pandemic, especially in Malaysia, which ranks as the nation with the second-poorest work-life balance ...
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