How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice | 0 | 0.34 | 2021 |
The Dangers of Post-hoc Interpretability - Unjustified Counterfactual Explanations. | 4 | 0.40 | 2019 |
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees. | 0 | 0.34 | 2019 |
Defining Locality for Surrogates in Post-hoc Interpretablity. | 1 | 0.37 | 2018 |
Comparison-Based Inverse Classification for Interpretability in Machine Learning. | 2 | 0.37 | 2018 |
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. | 0 | 0.34 | 2018 |
Inverse Classification for Comparison-based Interpretability in Machine Learning. | 2 | 0.38 | 2017 |