| Hierarchical clustering: visualization, feature importance and model selection | Nov 30, 2021 | ClusteringFeature Importance | CodeCode Available | 0 |
| Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds | Oct 25, 2021 | DiagnosticFeature Importance | CodeCode Available | 0 |
| Comparing Feature Importance and Rule Extraction for Interpretability on Text Data | Jul 4, 2022 | Feature Importance | CodeCode Available | 0 |
| Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models | Jul 5, 2022 | Feature Importance | CodeCode Available | 0 |
| 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 |
| Clustering-Based Interpretation of Deep ReLU Network | Oct 13, 2021 | ClusteringFeature Importance | CodeCode Available | 0 |
| A Genre-Aware Attention Model to Improve the Likability Prediction of Books | Oct 1, 2018 | Feature ImportancePrediction | CodeCode Available | 0 |
| Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets | Sep 23, 2021 | Feature Importance | CodeCode Available | 0 |
| Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study | Oct 24, 2023 | Feature ImportanceHumanitarian | CodeCode Available | 0 |
| 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 |
