| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Compressing Features for Learning with Noisy Labels | Jun 27, 2022 | Feature CompressionFeature Importance | CodeCode Available | 1 |
| Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation | Dec 16, 2021 | Feature ImportanceScene Understanding | CodeCode Available | 1 |
| ControlBurn: Feature Selection by Sparse Forests | Jul 1, 2021 | Feature Importancefeature selection | CodeCode Available | 1 |
| Counterfactual Shapley Additive Explanations | Oct 27, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels | Sep 25, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 1 |
| Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data | May 5, 2022 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees | May 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 1 |
| agtboost: Adaptive and Automatic Gradient Tree Boosting Computations | Aug 28, 2020 | Feature Importance | CodeCode Available | 1 |
