| Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions | Nov 19, 2018 | Computational EfficiencyFeature Importance | 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 |
| Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent | Jul 19, 2024 | Deep Reinforcement LearningFeature Importance | CodeCode Available | 0 | 5 |
| An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text | Aug 26, 2024 | Feature ImportanceLanguage Modeling | CodeCode Available | 0 | 5 |
| Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features | Apr 1, 2021 | Feature ImportancePrediction | CodeCode Available | 0 | 5 |
| An ensemble meta-estimator to predict source code testability | Aug 20, 2022 | Feature Importanceregression | CodeCode Available | 0 | 5 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Explaining and visualizing black-box models through counterfactual paths | Jul 15, 2023 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms | Jul 6, 2024 | DiagnosticFeature Importance | CodeCode Available | 0 | 5 |
| Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis | May 30, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 | 5 |
