| Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence | Dec 29, 2021 | BIG-bench Machine LearningExplainable artificial intelligence | —Unverified | 0 |
| Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility | May 22, 2025 | ClassificationFairness | —Unverified | 0 |
| Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset | Nov 26, 2024 | Fairness | —Unverified | 0 |
| Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities | Aug 16, 2023 | Decision MakingExplainable Models | —Unverified | 0 |
| Explainable AI for Fair Sepsis Mortality Predictive Model | Apr 19, 2024 | Decision MakingFairness | —Unverified | 0 |
| Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence | Dec 4, 2023 | Fairness | —Unverified | 0 |
| Contextual Thompson Sampling via Generation of Missing Data | Feb 10, 2025 | Decision MakingFairness | —Unverified | 0 |
| Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review | Jul 12, 2024 | Breast Cancer DetectionExplainable artificial intelligence | —Unverified | 0 |
| Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank | Nov 1, 2021 | FairnessLearning-To-Rank | —Unverified | 0 |
| A Suite of Fairness Datasets for Tabular Classification | Jul 31, 2023 | ClassificationFairness | —Unverified | 0 |
