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  "Title": "Resampling Methods and Tools for Imbalanced Classification",
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  "Authors@R": "c(person(\"Fatih\", \"Saglam\", email = \"saglamf89@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-2084-2008\")))",
  "Description": "A collection of resampling methods for class imbalance in\nclassification problems. Includes the oversampling methods\nSMOTE with boosting (SMOTEWB) by F. Sağlam and M. A. Cengiz\n(2022) <doi:10.1016/j.eswa.2022.117023>, Markov chain SMOTE\n(MCSMOTE) by F. Sağlam and M. A. Cengiz (2025)\n<doi:10.1016/j.asoc.2025.113906>, uncertainty guided\noversampling (UGO) by F. Sağlam and M. A. Cengiz (2026)\n<doi:10.1016/j.knosys.2026.115886>, and bi-directional SMOTE\n(BiSMOTE) by F. Sağlam and U. Yamak (2027)\n<doi:10.1016/j.eswa.2026.134648>, and the data relocation\napproach DatRel by F. Sağlam (2025)\n<doi:10.1007/s10994-025-06755-8>, which can also be applied to\nsynthetic samples from any other source, together with commonly\nused alternatives such as SMOTE, ADASYN, Borderline-SMOTE,\nSafe-Level-SMOTE, Radius-SMOTE, VS-SMOTE, geometric SMOTE,\nrandom oversampling and undersampling. The methods share the\nsame interface: they take a feature matrix and a factor class\nvariable and return the resampled data together with the\nsynthetic samples. The package also provides performance\nmetrics for imbalanced classification and data complexity\nmeasures of class imbalance, class overlap and noise.",
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      "page": "ADASYN",
      "title": "Adaptive Synthetic Sampling (ADASYN, 2008)",
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      "page": "banana",
      "title": "Banana data",
      "topics": [
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      "title": "Bi-directional SMOTE (BiSMOTE, 2027)",
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        "BiSMOTE"
      ]
    },
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      "page": "BLSMOTE",
      "title": "Borderline-SMOTE (BLSMOTE, 2005)",
      "topics": [
        "BLSMOTE"
      ]
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      "title": "Calculate Several Complexity Measures",
      "topics": [
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      ]
    },
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      "title": "Complexity Measures for Imbalanced Classification Data",
      "topics": [
        "complexity_BORDERLINE",
        "complexity_C1",
        "complexity_C2",
        "complexity_F1",
        "complexity_F1v",
        "complexity_F2",
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      "title": "Evaluation-Based SMOTE (EBSMOTE, 2019)",
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      "title": "Evaluate a Classifier with Several Metrics",
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      "title": "Geometric SMOTE (GSMOTE, 2019)",
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      "title": "Local Entropy-Adversarial Oversampling (LEAO, 2025)",
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      "title": "Markov Chain SMOTE (MCSMOTE, 2025)",
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      "title": "Performance Metrics for Imbalanced Classification",
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        "BACC",
        "BBrier",
        "BECE",
        "Brier",
        "ECE",
        "F1",
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      "title": "Radius-SMOTE (RadiusSMOTE, 2021)",
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      "title": "Random Oversampling (ROS)",
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        "ROS"
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      "title": "Relocating Safe-Level SMOTE (RSLSMOTE, 2016)",
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        "Does it help a classifier?",
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