| GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games | Jan 28, 2022 | AttributeFeature Importance | CodeCode Available | 1 | 5 |
| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 | 5 |
| Grouped Feature Importance and Combined Features Effect Plot | Apr 23, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| Hierarchical interpretations for neural network predictions | Jun 14, 2018 | ClusteringFeature Importance | CodeCode Available | 1 | 5 |
| Interpretable machine learning for time-to-event prediction in medicine and healthcare | Mar 17, 2023 | Decision MakingFeature Importance | CodeCode Available | 1 | 5 |
| Reliable Post hoc Explanations: Modeling Uncertainty in Explainability | Aug 11, 2020 | Feature Importance | CodeCode Available | 1 | 5 |
| Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game | Oct 24, 2022 | Feature Importance | CodeCode Available | 1 | 5 |
| Interpretable machine learning: definitions, methods, and applications | Jan 14, 2019 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task | Sep 30, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| Measuring Association Between Labels and Free-Text Rationales | Oct 24, 2020 | Decision MakingFeature Importance | CodeCode Available | 1 | 5 |
