| Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach | Jan 21, 2020 | counterfactualFeature Importance | —Unverified | 0 | 0 |
| Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data | Jan 10, 2025 | Anomaly Detectionenergy management | —Unverified | 0 | 0 |
| Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis | Jan 6, 2025 | Feature Importance | —Unverified | 0 | 0 |
| Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance | Oct 15, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 | 0 |
| Explaining the Black-box Smoothly- A Counterfactual Approach | Jan 11, 2021 | counterfactualCounterfactual Explanation | —Unverified | 0 | 0 |
| Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance | Mar 7, 2025 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability | Dec 2, 2024 | Feature CorrelationFeature Importance | —Unverified | 0 | 0 |
| Explaining Time Series by Counterfactuals | Sep 25, 2019 | counterfactualFeature Importance | —Unverified | 0 | 0 |
| Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models | Jun 22, 2022 | counterfactualExplainable artificial intelligence | —Unverified | 0 | 0 |
| Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital | Dec 21, 2021 | Decision MakingFeature Importance | —Unverified | 0 | 0 |
