| LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification | Apr 26, 2021 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Towards Rigorous Interpretations: a Formalisation of Feature Attribution | Apr 26, 2021 | Explainable artificial intelligenceFeature Importance | CodeCode Available | 0 |
| Grouped Feature Importance and Combined Features Effect Plot | Apr 23, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation | Apr 15, 2021 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Text Guide: Improving the quality of long text classification by a text selection method based on feature importance | Apr 15, 2021 | ClassificationExplainable artificial intelligence | CodeCode Available | 1 |
| LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information | Apr 13, 2021 | counterfactualDecision Making | CodeCode Available | 0 |
| Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML | Apr 9, 2021 | AutoMLExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Transforming Feature Space to Interpret Machine Learning Models | Apr 9, 2021 | BIG-bench Machine LearningDiagnostic | CodeCode Available | 0 |
| Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models | Apr 7, 2021 | ClassificationDecision Making | —Unverified | 0 |
| Online Feature Screening for Data Streams with Concept Drift | Apr 7, 2021 | Feature Importancefeature selection | —Unverified | 0 |
