| Shapley Flow: A Graph-based Approach to Interpreting Model Predictions | Oct 27, 2020 | Feature Importance | CodeCode Available | 1 | 5 |
| STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison | Jun 23, 2022 | AutoMLBinary Classification | CodeCode Available | 1 | 5 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | CodeCode Available | 1 | 5 |
| An Annotated Corpus of Textual Explanations for Clinical Decision Support | Jun 1, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 0 | 5 |
| Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting | Nov 29, 2022 | Feature Importancequantile regression | CodeCode Available | 0 | 5 |
| Explainability of Machine Learning Models under Missing Data | Jun 29, 2024 | Explainable artificial intelligenceFeature Importance | CodeCode Available | 0 | 5 |
| A Benchmark for Interpretability Methods in Deep Neural Networks | Jun 28, 2018 | Feature Importanceimage-classification | 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 |
| Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs | Jul 13, 2020 | Feature Importanceregression | CodeCode Available | 0 | 5 |
| Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt Method | Nov 7, 2024 | Diabetes PredictionFeature Importance | CodeCode Available | 0 | 5 |
| Enhancing interpretability of rule-based classifiers through feature graphs | Jun 16, 2025 | DiagnosticFeature Importance | CodeCode Available | 0 | 5 |
| Elastic Net based Feature Ranking and Selection | Dec 30, 2020 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| 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 |
| End-to-end Feature Selection Approach for Learning Skinny Trees | Oct 28, 2023 | Ensemble LearningFeature Compression | CodeCode Available | 0 | 5 |
| EPIC: Explanation of Pretrained Image Classification Networks via Prototype | May 19, 2025 | Feature Importanceimage-classification | CodeCode Available | 0 | 5 |
| Towards Automatic Concept-based Explanations | Feb 7, 2019 | Feature Importance | 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 |
| 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 |
| Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents | Jan 18, 2021 | Atari GamesBenchmarking | CodeCode Available | 0 | 5 |
| Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines | Feb 5, 2024 | Autonomous DrivingFeature Importance | CodeCode Available | 0 | 5 |
| Evaluating Model Explanations without Ground Truth | May 15, 2025 | Feature Importancemodel | CodeCode Available | 0 | 5 |
| A Debiased MDI Feature Importance Measure for Random Forests | Jun 26, 2019 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| Enhancing Interpretability and Generalizability in Extended Isolation Forests | Oct 9, 2023 | Anomaly DetectionFeature 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 |
