Explaining black-box classifiers using \textit{post-hoc} explanations-by-example: the effect of explanations and error-rates in XAI user studies (Q2238633)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Explaining black-box classifiers using \textit{post-hoc} explanations-by-example: the effect of explanations and error-rates in XAI user studies |
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Explaining black-box classifiers using \textit{post-hoc} explanations-by-example: the effect of explanations and error-rates in XAI user studies (English)
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2 November 2021
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explainable AI
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factual explanation
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trust
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user testing
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convolutional neural network
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case-based reasoning
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deep learning
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\(k\)-nearest neighbours
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