| Learning to Faithfully Rationalize by Construction | Apr 30, 2020 | Feature Importancetext-classification | CodeCode Available | 1 | 5 |
| LFI-CAM: Learning Feature Importance for Better Visual Explanation | May 3, 2021 | ClassificationDecision Making | CodeCode Available | 1 | 5 |
| ControlBurn: Feature Selection by Sparse Forests | Jul 1, 2021 | Feature Importancefeature selection | CodeCode Available | 1 | 5 |
| Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes | Jan 28, 2024 | Anomaly DetectionExplainable artificial intelligence | CodeCode Available | 1 | 5 |
| E2E-FS: An End-to-End Feature Selection Method for Neural Networks | Dec 14, 2020 | Feature Importancefeature selection | CodeCode Available | 1 | 5 |
| Counterfactual Shapley Additive Explanations | Oct 27, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels | Sep 25, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 1 | 5 |
| Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data | May 5, 2022 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees | May 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 1 | 5 |
| Explainable Global Wildfire Prediction Models using Graph Neural Networks | Feb 11, 2024 | BenchmarkingCommunity Detection | CodeCode Available | 1 | 5 |
