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  "Title": "Robust Oversampling with RM-SMOTE for Imbalanced Classification",
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  "Description": "Provides the ROBOSRMSMOTE (Robust Oversampling with\nRM-SMOTE) framework for imbalanced classification tasks. This\npackage extends Mahalanobis distance-based oversampling\ntechniques by integrating robust covariance estimators to\nbetter handle outliers and complex data distributions. The\nimplemented methodology builds upon and significantly expands\nthe RM-SMOTE algorithm originally proposed by Taban et al.\n(2025) <doi:10.1007/s10260-025-00819-8>.",
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  "Author": "Emre Dunder [aut], Mehmet Ali Cengiz [aut], Zainab Subhi\nMahmood Hawrami [aut, cre], Abdulmohsen Alharthi [aut]",
  "Maintainer": "Zainab Subhi Mahmood Hawrami <zaianbsubhi@gmail.com>",
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