| Enhancements for Developing a Comprehensive AI Fairness Assessment Standard | Apr 10, 2025 | Decision MakingFairness | —Unverified | 0 |
| Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI | Apr 5, 2024 | Data AugmentationDiagnostic | —Unverified | 0 |
| Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach | May 31, 2024 | Data AugmentationFairness | —Unverified | 0 |
| Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling | Jun 3, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Balancing Efficiency and Equity in Classroom Assignment under Endogenous Peer Effects | Apr 3, 2024 | counterfactualFairness | —Unverified | 0 |
| Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality | Apr 12, 2024 | Decision MakingFairness | —Unverified | 0 |
| Travel Demand Forecasting: A Fair AI Approach | Mar 3, 2023 | Decision MakingDemand Forecasting | —Unverified | 0 |
| Learning Fairer Representations with FairVIC | Apr 28, 2024 | Decision MakingDeep Learning | —Unverified | 0 |
| Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule | Aug 26, 2024 | Fairness | —Unverified | 0 |
| Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation | Mar 29, 2025 | FairnessFederated Learning | —Unverified | 0 |