IEEE

ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning

Abstract: With the rapid growth of Internet data volumes, Big Data analysis technologies have gradually permeated all aspects of life. However, the existence of data silos and the promulgation of ...
Scientific Research Publishing

A Brief Discussion on the Theory and Application of Artificial Intelligence in Medical Diagnostics ()

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance ...
AlphaGalileo

Integrating Credit and Debit Data for Enhanced Insights into Borrowing Behavior and Predictive Modeling of Credit Card Delinquency

Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral ...
IEEE

Implementing Calorie Burnt Prediction Through XGBOOST Algorithm Compared Over Random Forest Regressor

Abstract: This research aims to evaluate the XGBoost algorithm and the Lasso Regression approach for their respective abilities to forecast caloric expenditure during physical activity. Tools and ...