| Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features | Apr 1, 2021 | Feature ImportancePrediction | CodeCode Available | 0 | 5 |
| Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions | Nov 19, 2018 | Computational EfficiencyFeature Importance | CodeCode Available | 0 | 5 |
| Calculating and Visualizing Counterfactual Feature Importance Values | Jun 10, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| An Explainable Pipeline for Machine Learning with Functional Data | Jan 10, 2025 | Feature Importance | CodeCode Available | 0 | 5 |
| Explaining and visualizing black-box models through counterfactual paths | Jul 15, 2023 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| A Genre-Aware Attention Model to Improve the Likability Prediction of Books | Oct 1, 2018 | Feature ImportancePrediction | CodeCode Available | 0 | 5 |
| Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis | May 30, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 | 5 |
| AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking | Jan 20, 2024 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| Explainability of Machine Learning Models under Missing Data | Jun 29, 2024 | Explainable artificial intelligenceFeature Importance | CodeCode Available | 0 | 5 |
| Enhancing Interpretability and Generalizability in Extended Isolation Forests | Oct 9, 2023 | Anomaly DetectionFeature Importance | CodeCode Available | 0 | 5 |
