| Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion | Mar 11, 2021 | Feature ImportanceInterpretable Machine Learning | —Unverified | 0 | 0 |
| Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape | Feb 11, 2023 | ClusteringFeature Importance | —Unverified | 0 | 0 |
| Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction | May 14, 2019 | Feature ImportanceMortality Prediction | —Unverified | 0 | 0 |
| Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection | Nov 17, 2022 | Dimensionality ReductionFeature Importance | —Unverified | 0 | 0 |
| Interpretable machine learning-guided design of Fe-based soft magnetic alloys | Apr 28, 2025 | Feature ImportanceInterpretable Machine Learning | —Unverified | 0 | 0 |
| Interpretable Models via Pairwise permutations algorithm | Nov 17, 2021 | Feature Importance | —Unverified | 0 | 0 |
| Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals | Jun 5, 2023 | Emotion ClassificationEmotion Recognition | —Unverified | 0 | 0 |
| A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment | Jan 23, 2019 | Feature Importancefeature selection | —Unverified | 0 | 0 |
| Interpretable QSPR Modeling using Recursive Feature Machines and Multi-scale Fingerprints | Nov 21, 2024 | Feature Importance | —Unverified | 0 | 0 |
| INTERPRETATION OF NEURAL NETWORK IS FRAGILE | Jan 1, 2018 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 | 0 |
