| Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications | Mar 7, 2021 | Articlescounterfactual | —Unverified | 0 |
| A Structural Causal Model for MR Images of Multiple Sclerosis | Mar 4, 2021 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Evaluating Robustness of Counterfactual Explanations | Mar 3, 2021 | counterfactualDecision Making | CodeCode Available | 0 |
| Structural models for policy-making: Coping with parametric uncertainty | Mar 1, 2021 | counterfactualDecision Making | —Unverified | 0 |
| Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms | Mar 1, 2021 | counterfactual | —Unverified | 0 |
| Counterfactual Zero-Shot and Open-Set Visual Recognition | Mar 1, 2021 | AttributeBinary Classification | CodeCode Available | 1 |
| Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning | Feb 28, 2021 | counterfactualFairness | —Unverified | 0 |
| If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques | Feb 26, 2021 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Towards a Unified Framework for Fair and Stable Graph Representation Learning | Feb 25, 2021 | counterfactualFairness | CodeCode Available | 1 |
| Case Level Counterfactual Reasoning in Process Mining | Feb 25, 2021 | Causal Inferencecounterfactual | —Unverified | 0 |
