References

The receiver operating characteristic curve accurately assesses imbalanced datasets — Richardson, Trevizani, Greenbaum, Carter, Nielsen & Peters. Patterns 5, 2024.

@article{richardson2024receiver,
  title   = {The receiver operating characteristic curve accurately assesses imbalanced datasets},
  author  = {Richardson, Eve and Trevizani, Raphael and Greenbaum, Jason A. and Carter, Hannah and Nielsen, Morten and Peters, Bjoern},
  journal = {Patterns},
  volume  = {5},
  pages   = {100994},
  year    = {2024},
  doi     = {10.1016/j.patter.2024.100994}
}

A Closer Look at AUROC and AUPRC under Class Imbalance — McDermott, Zhang, Hansen, Angelotti & Gallifant. NeurIPS 2024.

@inproceedings{mcdermott2024closer,
  title     = {A Closer Look at AUROC and AUPRC under Class Imbalance},
  author    = {McDermott, Matthew B. A. and Zhang, Haoran and Hansen, Lasse Hyldig and Angelotti, Giovanni and Gallifant, Jack},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  volume    = {37},
  year      = {2024},
  eprint    = {2401.06091},
  archivePrefix = {arXiv}
}

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs — Flores, Smith, Fukuyama & Wilson. NeurIPS 2025.

@inproceedings{flores2025aligning,
  title     = {Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs},
  author    = {Flores, Gerardo A. and Smith, Alyssa H. and Fukuyama, Julia A. and Wilson, Ashia C.},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  volume    = {38},
  year      = {2025},
  eprint    = {2506.14540},
  archivePrefix = {arXiv}
}

The Relationship Between Precision-Recall and ROC Curves — Davis & Goadrich. ICML 2006.

@inproceedings{davis2006relationship,
  title     = {The Relationship Between Precision-Recall and ROC Curves},
  author    = {Davis, Jesse and Goadrich, Mark},
  booktitle = {Proceedings of the 23rd International Conference on Machine Learning (ICML)},
  pages     = {233--240},
  year      = {2006},
  doi       = {10.1145/1143844.1143874}
}

An introduction to ROC analysis — Tom Fawcett. Pattern Recognition Letters 27(8), 2006.

@article{fawcett2006introduction,
  title   = {An introduction to ROC analysis},
  author  = {Fawcett, Tom},
  journal = {Pattern Recognition Letters},
  volume  = {27},
  number  = {8},
  pages   = {861--874},
  year    = {2006},
  doi     = {10.1016/j.patrec.2005.10.010}
}

Analyzing a Portion of the ROC Curve — Donna K. McClish. Medical Decision Making 9(3), 1989.

@article{mcclish1989analyzing,
  title   = {Analyzing a Portion of the ROC Curve},
  author  = {McClish, Donna K.},
  journal = {Medical Decision Making},
  volume  = {9},
  number  = {3},
  pages   = {190--195},
  year    = {1989},
  doi     = {10.1177/0272989X8900900307}
}