2022
DOI: 10.1016/j.knosys.2022.109947
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Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification

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Cited by 22 publications
(15 citation statements)
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“…In this section, we introduce the experiments carried out to validate the proposed methods (see Section 3) on the datasets presented in Section 4.1. We kept the splits in training and test sets that were proposed in [3,6].…”
Section: Experiments and Resultsmentioning
confidence: 99%
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“…In this section, we introduce the experiments carried out to validate the proposed methods (see Section 3) on the datasets presented in Section 4.1. We kept the splits in training and test sets that were proposed in [3,6].…”
Section: Experiments and Resultsmentioning
confidence: 99%
“…Other authors have proposed to train object detectors or segmentation models as concept extractors to localize object parts that are used as concepts. The final model solution combines those models with a classifier that bases its decision on the detected object parts [3,6].…”
Section: Related Workmentioning
confidence: 99%
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