| A Detailed Study of Interpretability of Deep Neural Network based Top Taggers | Oct 9, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 0 | 5 |
| EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python | Aug 8, 2022 | Feature Importance | CodeCode Available | 0 | 5 |
| End-to-end Feature Selection Approach for Learning Skinny Trees | Oct 28, 2023 | Ensemble LearningFeature Compression | CodeCode Available | 0 | 5 |
| Towards Automatic Concept-based Explanations | Feb 7, 2019 | Feature Importance | CodeCode Available | 0 | 5 |
| A Multilinear Sampling Algorithm to Estimate Shapley Values | Oct 22, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 | 5 |
| Efficient Novelty Detection Methods for Early Warning of Potential Fatal Diseases | Aug 6, 2022 | Episode ClassificationFeature Engineering | CodeCode Available | 0 | 5 |
| Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets | Sep 23, 2021 | Feature Importance | CodeCode Available | 0 | 5 |
| Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines | Feb 5, 2024 | Autonomous DrivingFeature Importance | CodeCode Available | 0 | 5 |
| A Debiased MDI Feature Importance Measure for Random Forests | Jun 26, 2019 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| ECG Feature Importance Rankings: Cardiologists vs. Algorithms | Apr 5, 2023 | Feature Importance | CodeCode Available | 0 | 5 |
