| Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning | May 10, 2023 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| FAHT: An Adaptive Fairness-aware Decision Tree Classifier | Jul 16, 2019 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Fairness in Multi-Task Learning via Wasserstein Barycenters | Jun 16, 2023 | Binary ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Feature Interaction Aware Automated Data Representation Transformation | Sep 29, 2023 | Automated Feature EngineeringDecision Making | CodeCode Available | 0 | 5 |
| PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models | Apr 10, 2024 | Decision MakingLarge Language Model | CodeCode Available | 0 | 5 |
| Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification | Nov 22, 2024 | ClassificationComputational Efficiency | CodeCode Available | 0 | 5 |
| Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI | Dec 13, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies | Feb 20, 2024 | Chemical ProcessDecision Making | CodeCode Available | 0 | 5 |
| Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization | Nov 25, 2020 | Decision MakingDiagnostic | CodeCode Available | 0 | 5 |
| Exploring Computational User Models for Agent Policy Summarization | May 30, 2019 | Decision MakingImitation Learning | CodeCode Available | 0 | 5 |
