IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
Nevada Independent

Nevada unveils new statewide data classification policy months after cyberattack

Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive cyberattack crippled certain systems for weeks. The policy announced Wednesday ...
Boise State University

Boise State University Using Data Classification Labels

Data classification labels are critical to the effective management and protection of information based on its sensitivity and the potential impact of disclosure. These labels enable the University to ...
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...