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- W2968453977 abstract "Tools that enhance interpretability of classifiers tend to focus on the knowledgeable data scientist. Here we propose techniques that generate textual explanations of the internal behavior of a given classifier, aiming at less technically proficient users of machine learning resources. Our approach has been positively evaluated by a group of users who received its textual output." @default.
- W2968453977 created "2019-08-22" @default.
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- W2968453977 date "2019-06-01" @default.
- W2968453977 modified "2023-09-23" @default.
- W2968453977 title "Natural Language Explanations of Classifier Behavior" @default.
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- W2968453977 doi "https://doi.org/10.1109/aike.2019.00048" @default.
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