| Automatic prediction of mortality in patients with mental illness using electronic health records | Oct 18, 2023 | Feature Importance | —Unverified | 0 | 0 |
| Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices | Oct 30, 2024 | Feature Importance | —Unverified | 0 | 0 |
| Automatic Componentwise Boosting: An Interpretable AutoML System | Sep 12, 2021 | AutoMLFeature Importance | —Unverified | 0 | 0 |
| Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency | Nov 30, 2021 | Feature Importanceregression | —Unverified | 0 | 0 |
| A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction | May 22, 2025 | Feature Importance | —Unverified | 0 | 0 |
| Accurate and Robust Feature Importance Estimation under Distribution Shifts | Sep 30, 2020 | Feature Importance | —Unverified | 0 | 0 |
| Correlation vs causation in Alzheimer's disease: an interpretability-driven study | Jun 11, 2025 | Causal InferenceFeature Importance | —Unverified | 0 | 0 |
| DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks | Jul 19, 2024 | Feature Importanceimage-classification | —Unverified | 0 | 0 |
| WheaCha: A Method for Explaining the Predictions of Models of Code | Feb 9, 2021 | BIG-bench Machine LearningCode Summarization | —Unverified | 0 | 0 |
| Democratizing Evaluation of Deep Model Interpretability through Consensus | Jan 1, 2021 | Feature Importance | —Unverified | 0 | 0 |
