| Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach | Nov 2, 2022 | Feature ImportanceIncremental Learning | —Unverified | 0 | 0 |
| Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques | Aug 2, 2024 | Feature Importancefeature selection | —Unverified | 0 | 0 |
| X-SHAP: towards multiplicative explainability of Machine Learning | Jun 8, 2020 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 | 0 |
| EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT | Feb 28, 2025 | Feature Importance | —Unverified | 0 | 0 |
| CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction | Jun 9, 2025 | AutoMLDiversity | —Unverified | 0 | 0 |
| On The Impact of Merge Request Deviations on Code Review Practices | Jun 10, 2025 | Feature ImportanceFew-Shot Learning | —Unverified | 0 | 0 |
| Local MDI+: Local Feature Importances for Tree-Based Models | Jun 10, 2025 | Computational EfficiencyFeature Importance | —Unverified | 0 | 0 |
| Correlation vs causation in Alzheimer's disease: an interpretability-driven study | Jun 11, 2025 | Causal InferenceFeature Importance | —Unverified | 0 | 0 |
| A Broad Learning Approach for Context-Aware Mobile Application Recommendation | Sep 11, 2017 | Feature Importance | —Unverified | 0 | 0 |
| Abstract Interpretation-Based Feature Importance for SVMs | Oct 22, 2022 | FairnessFeature Importance | —Unverified | 0 | 0 |
