| Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies | Oct 8, 2020 | Decision MakingManagement | CodeCode Available | 1 | 5 |
| Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design | Oct 7, 2021 | Decision MakingPolicy Gradient Methods | CodeCode Available | 1 | 5 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study | Jan 10, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Explainable Neural Computation via Stack Neural Module Networks | Jul 23, 2018 | Decision MakingQuestion Answering | CodeCode Available | 1 | 5 |
| An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability | Sep 11, 2021 | Decision MakingInformation Retrieval | CodeCode Available | 1 | 5 |
| Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM | Oct 11, 2023 | counterfactualDecision Making | CodeCode Available | 1 | 5 |
| Explainable Machine Larning for liver transplantation | Sep 28, 2021 | Decision Making | CodeCode Available | 1 | 5 |
| Explaining Autonomous Driving Actions with Visual Question Answering | Jul 19, 2023 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 | 5 |
| Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models | Oct 8, 2023 | Claim VerificationDecision Making | CodeCode Available | 1 | 5 |
| Explainable AI for computational pathology identifies model limitations and tissue biomarkers | Sep 4, 2024 | Bias Detectioncounterfactual | CodeCode Available | 1 | 5 |
