| Neural network interpretability for forecasting of aggregated renewable generation | Jun 19, 2021 | Binary ClassificationFeature Importance | CodeCode Available | 0 |
| Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT) | Jun 15, 2021 | Feature Importance | CodeCode Available | 0 |
| FairCanary: Rapid Continuous Explainable Fairness | Jun 13, 2021 | FairnessFeature Importance | —Unverified | 0 |
| Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption | Jun 11, 2021 | Feature Importance | —Unverified | 0 |
| Explaining Time Series Predictions with Dynamic Masks | Jun 9, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 |
| Evaluating Local Explanations using White-box Models | Jun 4, 2021 | Feature Importance | —Unverified | 0 |
| The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations | Jun 1, 2021 | counterfactualFeature Importance | CodeCode Available | 1 |
| A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling | May 31, 2021 | Feature Importance | CodeCode Available | 0 |
| Evaluating the Correctness of Explainable AI Algorithms for Classification | May 20, 2021 | Binary ClassificationClassification | —Unverified | 0 |
| Algorithm-Agnostic Explainability for Unsupervised Clustering | May 17, 2021 | BIG-bench Machine LearningClustering | CodeCode Available | 0 |
| Is Gender "In-the-Wild" Inference Really a Solved Problem? | May 12, 2021 | AttributeFeature Importance | CodeCode Available | 0 |
| LFI-CAM: Learning Feature Importance for Better Visual Explanation | May 3, 2021 | ClassificationDecision Making | CodeCode Available | 1 |
| Learning Bermudans | May 3, 2021 | Feature Importance | —Unverified | 0 |
| Regularizing Explanations in Bayesian Convolutional Neural Networks | Apr 29, 2021 | Bayesian InferenceClassification | —Unverified | 0 |
| Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation | Apr 29, 2021 | counterfactualData Augmentation | —Unverified | 0 |
| 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 |
