A multiorder feature tracking and explanation strategy for explainable deep learning
A good AI algorithm can make accurate predictions and provide reasonable explanations for the field in which it is applied. However, the application of deep models makes the black box problem, i.e., the lack of interpretability of a model, more prominent. In particular, when there are multiple featu...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
De Gruyter
2023-04-01
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| Edice: | Journal of Intelligent Systems |
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| On-line přístup: | https://doi.org/10.1515/jisys-2022-0212 |