| fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms | Nov 23, 2022 | Automated Feature EngineeringBenchmarking | CodeCode Available | 1 | 5 |
| A Matlab Toolbox for Feature Importance Ranking | Mar 10, 2020 | Feature Importancefeature selection | CodeCode Available | 1 | 5 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? | Oct 28, 2024 | Feature ImportanceMultiple Instance Learning | CodeCode Available | 1 | 5 |
| CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | Dec 6, 2023 | Feature ImportancePhilosophy | CodeCode Available | 1 | 5 |
| Hierarchical interpretations for neural network predictions | Jun 14, 2018 | ClusteringFeature Importance | 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 |
| Interpretable machine learning for time-to-event prediction in medicine and healthcare | Mar 17, 2023 | Decision MakingFeature Importance | CodeCode Available | 1 | 5 |
| DBA: Distributed Backdoor Attacks against Federated Learning | May 1, 2020 | Backdoor AttackFeature Importance | CodeCode Available | 1 | 5 |
| Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark | Jun 8, 2022 | BenchmarkingExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 | 5 |
