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Mark T. Keane

Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?

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Mar 01, 2024
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Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals

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Mar 16, 2023
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Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ

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Dec 16, 2022
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Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation

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Nov 05, 2021
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Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions

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Jul 20, 2021
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Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows

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Jan 07, 2021
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Instance-Based Counterfactual Explanations for Time Series Classification

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Sep 28, 2020
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Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier

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Sep 10, 2020
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On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

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Sep 10, 2020
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Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI

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May 26, 2020
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