| Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis | May 30, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| BMX: Boosting Natural Language Generation Metrics with Explainability | Dec 20, 2022 | Feature ImportanceMachine Translation | CodeCode Available | 0 |
| Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks | Apr 25, 2025 | Autonomous NavigationFeature Importance | CodeCode Available | 0 |
| Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer | Apr 24, 2023 | Feature ImportancePhysics-informed machine learning | CodeCode Available | 0 |
| A Detailed Study of Interpretability of Deep Neural Network based Top Taggers | Oct 9, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 0 |
| Disentangling Interactions and Dependencies in Feature Attribution | Oct 31, 2024 | Feature Importance | CodeCode Available | 0 |
| A tree-based varying coefficient model | Jan 11, 2024 | Feature Importancefeature selection | CodeCode Available | 0 |
| ShaRP: A Novel Feature Importance Framework for Ranking | Jan 30, 2024 | Feature ImportanceLearning-To-Rank | CodeCode Available | 0 |
| ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry | Mar 12, 2025 | Feature Importancefeature selection | CodeCode Available | 0 |
