ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
IEEE

Optimization Strategy Based on the XGBoost Model and String Point Optimization Algorithm

Abstract: This study presents a resource scheduling framework integrating XGBoost with a string point optimization algorithm to address challenges in time-sensitive distribution networks. The ...
GitHub

ML IDS Test Suite

This repository focuses on practical network IDS experimentation: dataset normalization, XGBoost training, hyperparameter optimization, and realtime Zeek conn.log analysis. DataPreprocessing/ Dataset ...