Shapley-Lorenz eXplainable Artificial Intelligence
•A new global eXplainable Artificial Intelligence method is proposed.•Our method is based on the use of Shapley values and Lorenz Zonoid decomposition.•The derived variable importance criterion fulfills explainability requirement.•The application to bitcoin data shows the above mentioned advantages....
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| Published in: | Expert systems with applications Vol. 167; p. 114104 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Elsevier Ltd
01.04.2021
Elsevier BV |
| Subjects: | |
| ISSN: | 0957-4174, 1873-6793 |
| Online Access: | Get full text |
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