Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment

25 April 2025

Papers citing "Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment"

6 / 6 papers shown

Title
Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets Mateo Lopez-Ledezma Gissel Velarde 64 0 0 07 May 2025
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications Markus Haug Gissel Velarde 120 0 0 26 Apr 2025
Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection Gissel Velarde Anindya Sudhir Sanjay Deshmane Anuj Deshmunkh K. Sharma Vaibhav Joshi 11 4 0 27 Mar 2023
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost Chen Wang Chengyuan Deng Suzhen Wang 36 228 0 05 Aug 2019
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning G. Lemaître Fernando Nogueira Christos K. Aridas 45 2,052 0 21 Sep 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 287 37,815 0 09 Mar 2016