Name
Abstract | ||
|---|---|---|
•Counterfactual sets, a new explanation technique based on counterfactuals.•Counterfactual sets are summarized using an interpretable representation.•A fusion of Random Forest tree predictors into a single Decision Tree.•A method to extract counterfactual sets from a Random Forest.•The extracted counterfactual set contains the optimal counterfactual by design. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.inffus.2020.07.001 | Information Fusion |
Keywords | DocType | Volume |
Explainable machine learning,Counterfactual sets,Counterfactual,Information fusion,Random forest,Decision tree | Journal | 63 |
ISSN | Citations | PageRank |
1566-2535 | 3 | 0.40 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubén R. Fernández | 1 | 3 | 0.40 |
| Isaac Martin de Diego | 2 | 247 | 25.03 |
| Víctor Aceña | 3 | 3 | 1.41 |
| Alberto Fernández-Isabel | 4 | 5 | 0.85 |
| Javier M. Moguerza | 5 | 193 | 22.26 |