| Evaluating Model Explanations without Ground Truth | May 15, 2025 | Feature Importancemodel | CodeCode Available | 0 | 5 |
| Clustering-Based Interpretation of Deep ReLU Network | Oct 13, 2021 | ClusteringFeature Importance | CodeCode Available | 0 | 5 |
| A Benchmark for Interpretability Methods in Deep Neural Networks | Jun 28, 2018 | Feature Importanceimage-classification | 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 |
| EPIC: Explanation of Pretrained Image Classification Networks via Prototype | May 19, 2025 | Feature Importanceimage-classification | 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 |
| 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 |
| AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors | Dec 7, 2020 | Feature EngineeringFeature 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 |
| Classification-Specific Parts for Improving Fine-Grained Visual Categorization | Sep 16, 2019 | ClassificationFeature Importance | CodeCode Available | 0 | 5 |
