| Explainable Machine Learning in Deployment | Sep 13, 2019 | BIG-bench Machine Learningcounterfactual | —Unverified | 0 |
| An interpretable deep learning method for bearing fault diagnosis | Aug 20, 2023 | Deep LearningFault Diagnosis | —Unverified | 0 |
| Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke | Aug 4, 2023 | Feature ImportanceMortality Prediction | —Unverified | 0 |
| A Graph Neural Network deep-dive into successful counterattacks | Nov 26, 2024 | Feature ImportanceGraph Neural Network | —Unverified | 0 |
| Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment | Jan 30, 2025 | Feature ImportanceSensitivity | —Unverified | 0 |
| Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths | Mar 4, 2022 | Feature ImportanceLearning-To-Rank | —Unverified | 0 |
| An exploration of features to improve the generalisability of fake news detection models | Feb 27, 2025 | ArticlesFake News Detection | —Unverified | 0 |
| AcME-AD: Accelerated Model Explanations for Anomaly Detection | Mar 2, 2024 | Anomaly DetectionDecision Making | —Unverified | 0 |
| Explainable Image Classification with Evidence Counterfactual | Apr 16, 2020 | Classificationcounterfactual | —Unverified | 0 |
| Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients | Apr 17, 2024 | counterfactualFeature Importance | —Unverified | 0 |
