| Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent | Jul 19, 2024 | Deep Reinforcement LearningFeature Importance | CodeCode Available | 0 | 5 |
| Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks | Apr 25, 2025 | Autonomous NavigationFeature Importance | 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 COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features | Apr 1, 2021 | Feature ImportancePrediction | 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 |
| Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt Method | Nov 7, 2024 | Diabetes PredictionFeature Importance | CodeCode Available | 0 | 5 |
| A Comparative Study on Machine Learning-based Approaches for Improving Traffic Accident Severity Prediction | Nov 2, 2021 | ClassificationCrash injury severity | CodeCode Available | 0 | 5 |
| Evaluating Model Explanations without Ground Truth | May 15, 2025 | Feature Importancemodel | CodeCode Available | 0 | 5 |
| Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs | Jul 13, 2020 | Feature Importanceregression | CodeCode Available | 0 | 5 |
| Explaining and visualizing black-box models through counterfactual paths | Jul 15, 2023 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair | Aug 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 0 | 5 |
| Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study | Oct 24, 2023 | Feature ImportanceHumanitarian | CodeCode Available | 0 | 5 |
| Classification-Specific Parts for Improving Fine-Grained Visual Categorization | Sep 16, 2019 | ClassificationFeature Importance | CodeCode Available | 0 | 5 |
| EPIC: Explanation of Pretrained Image Classification Networks via Prototype | May 19, 2025 | Feature Importanceimage-classification | CodeCode Available | 0 | 5 |
| Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach | Dec 8, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 | 5 |
| Clustering-Based Interpretation of Deep ReLU Network | Oct 13, 2021 | ClusteringFeature Importance | CodeCode Available | 0 | 5 |
| AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors | Dec 7, 2020 | Feature EngineeringFeature Importance | CodeCode Available | 0 | 5 |
| Classification of cotton water stress using convolutional neural networks and UAV-based RGB imagery | Feb 1, 2024 | Feature Importance | CodeCode Available | 0 | 5 |
| Elastic Net based Feature Ranking and Selection | Dec 30, 2020 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data | Apr 15, 2024 | Feature Importance | CodeCode Available | 0 | 5 |
| Algorithm-Agnostic Explainability for Unsupervised Clustering | May 17, 2021 | BIG-bench Machine LearningClustering | CodeCode Available | 0 | 5 |
| Approximation of the Proximal Operator of the _ Norm Using a Neural Network | Aug 20, 2024 | Computational EfficiencyFeature Importance | CodeCode Available | 0 | 5 |
| End-to-end Feature Selection Approach for Learning Skinny Trees | Oct 28, 2023 | Ensemble LearningFeature Compression | CodeCode Available | 0 | 5 |
| A novel stacking framework based on hybrid of gradient boosting-adaptive boosting-multilayer perceptron for crash injury severity prediction and analysis | Dec 17, 2021 | Crash injury severityEnsemble Learning | CodeCode Available | 0 | 5 |
