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Re-reading the Ryan Report: Witnessing via and Close and Distant Reading
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Pine, Emilie
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Leavy, Susan
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A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction
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Counterfactual explanations for misclassified images: How human and machine explanations differ
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Delaney, Eoin
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Temraz, Mohammed
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Factors affecting “expectations of the unexpected”: The impact of controllability & valence on unexpected outcomes
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Quinn, Molly S.
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Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI
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Kenny, Eoin M.
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Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies
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Kenny, Eoin M.
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Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
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Do we “fear for the worst” or “Hope for the best” in thinking about the unexpected?: Factors affecting the valence of unexpected outcomes reported for everyday scenarios
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Quinn, Molly S.
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Campbell, Katherine
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