| Explainability for identification of vulnerable groups in machine learning models | Mar 1, 2022 | BIG-bench Machine LearningExplainable artificial intelligence | —Unverified | 0 | 0 |
| Exploiting Fairness to Enhance Sensitive Attributes Reconstruction | Sep 2, 2022 | Fairness | —Unverified | 0 | 0 |
| Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning | Dec 1, 2020 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
| SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems | Aug 2, 2023 | Fairness | —Unverified | 0 | 0 |
| Explainability for fair machine learning | Oct 14, 2020 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives | Jul 25, 2024 | Fairness | —Unverified | 0 | 0 |
| Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review | Aug 23, 2024 | ArticlesDecision Making | —Unverified | 0 | 0 |
| Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs | Jun 20, 2024 | Fairness | —Unverified | 0 | 0 |
| Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology | Oct 5, 2022 | Explanation GenerationFairness | —Unverified | 0 | 0 |
| Cali3F: Calibrated Fast Fair Federated Recommendation System | May 26, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
