| 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 |
| Discretized Integrated Gradients for Explaining Language Models | Aug 31, 2021 | Feature ImportanceSentiment Analysis | CodeCode Available | 1 | 5 |
| CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving | Apr 9, 2025 | Autonomous DrivingFeature Importance | CodeCode Available | 1 | 5 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | 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 |
| All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation | Sep 29, 2024 | AllData Compression | CodeCode Available | 1 | 5 |
| Explainable Global Wildfire Prediction Models using Graph Neural Networks | Feb 11, 2024 | BenchmarkingCommunity Detection | CodeCode Available | 1 | 5 |
| Explainable Multilayer Graph Neural Network for Cancer Gene Prediction | Jan 20, 2023 | Feature ImportanceGraph Learning | CodeCode Available | 1 | 5 |
| Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation | Dec 16, 2021 | Feature ImportanceScene Understanding | CodeCode Available | 1 | 5 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 | 5 |
