# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ROBOSRMSMOTE" in publications use:' type: software license: GPL-3.0-only title: 'ROBOSRMSMOTE: Robust Oversampling with RM-SMOTE for Imbalanced Classification' version: 1.0.0 doi: 10.32614/CRAN.package.ROBOSRMSMOTE abstract: Provides the ROBOSRMSMOTE (Robust Oversampling with RM-SMOTE) framework for imbalanced classification tasks. This package extends Mahalanobis distance-based oversampling techniques by integrating robust covariance estimators to better handle outliers and complex data distributions. The implemented methodology builds upon and significantly expands the RM-SMOTE algorithm originally proposed by Taban et al. (2025) . authors: - family-names: Dunder given-names: Emre - family-names: Cengiz given-names: Mehmet Ali - family-names: Hawrami given-names: Zainab Subhi Mahmood email: zaianbsubhi@gmail.com - family-names: Alharthi given-names: Abdulmohsen repository: https://cran.r-universe.dev commit: 6996a2efabaa08dc63c6da9195eb37565e0f7253 date-released: '2026-03-04' contact: - family-names: Hawrami given-names: Zainab Subhi Mahmood email: zaianbsubhi@gmail.com