| Achieving Fairness in Predictive Process Analytics via Adversarial Learning | Oct 3, 2024 | Fairness | —Unverified | 0 |
| Conformal Prediction Sets Can Cause Disparate Impact | Oct 2, 2024 | Conformal PredictionFairness | CodeCode Available | 0 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Causal Inference Tools for a Better Evaluation of Machine Learning | Oct 2, 2024 | Causal InferenceEconometrics | —Unverified | 0 |
| ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups | Oct 2, 2024 | Data AugmentationFairness | —Unverified | 0 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Fair Class-Incremental Learning using Sample Weighting | Oct 2, 2024 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications | Oct 2, 2024 | AutoMLEdge-computing | —Unverified | 0 |
| Explainable Multi-Stakeholder Job Recommender Systems | Oct 1, 2024 | FairnessRecommendation Systems | —Unverified | 0 |