| FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction | Oct 7, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification | Dec 25, 2021 | Fairness | CodeCode Available | 0 |
| A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection | Nov 30, 2023 | Fairnessfeature selection | CodeCode Available | 0 |
| Neuro-Symbolic Verification of Deep Neural Networks | Mar 2, 2022 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| ABCinML: Anticipatory Bias Correction in Machine Learning Applications | Jun 14, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| New fairness criteria for truncated ballots in multi-winner ranked-choice elections | Aug 7, 2024 | Fairness | CodeCode Available | 0 |
| Deep Fair Discriminative Clustering | May 28, 2021 | ClusteringDeep Clustering | CodeCode Available | 0 |
| Towards causal benchmarking of bias in face analysis algorithms | Jul 13, 2020 | AttributeBenchmarking | CodeCode Available | 0 |
| The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness | Feb 8, 2021 | Decision MakingFairness | CodeCode Available | 0 |
| Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric | Sep 26, 2022 | ClusteringFairness | CodeCode Available | 0 |
