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| Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models | Jun 22, 2022 | counterfactualExplainable artificial intelligence | —Unverified | 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 |
| Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis | May 20, 2024 | counterfactualFeature Importance | —Unverified | 0 |
| Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems | Nov 4, 2024 | Feature EngineeringFeature Importance | —Unverified | 0 |
| Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections | May 11, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | —Unverified | 0 |
| Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study | Nov 19, 2024 | DiversityFeature Importance | —Unverified | 0 |
| Exploring Patterns Behind Sports | Feb 11, 2025 | Computational EfficiencyFeature Engineering | —Unverified | 0 |
| Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning | Oct 8, 2020 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| FeatNavigator: Automatic Feature Augmentation on Tabular Data | Jun 13, 2024 | Feature Importance | —Unverified | 0 |
