| Explaining word embeddings with perfect fidelity: Case study in research impact prediction | Sep 24, 2024 | ArticlesFeature Importance | CodeCode Available | 0 | 5 |
| Feature Importance Measure for Non-linear Learning Algorithms | Nov 22, 2016 | Feature ImportancePrediction | CodeCode Available | 0 | 5 |
| End-to-end Feature Selection Approach for Learning Skinny Trees | Oct 28, 2023 | Ensemble LearningFeature Compression | CodeCode Available | 0 | 5 |
| Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach | Dec 8, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 | 5 |
| A Benchmark for Interpretability Methods in Deep Neural Networks | Jun 28, 2018 | Feature Importanceimage-classification | CodeCode Available | 0 | 5 |
| Calculating and Visualizing Counterfactual Feature Importance Values | Jun 10, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| BMX: Boosting Natural Language Generation Metrics with Explainability | Dec 20, 2022 | Feature ImportanceMachine Translation | CodeCode Available | 0 | 5 |
| Evaluating Model Explanations without Ground Truth | May 15, 2025 | Feature Importancemodel | CodeCode Available | 0 | 5 |
| Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks | Apr 25, 2025 | Autonomous NavigationFeature Importance | CodeCode Available | 0 | 5 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
