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08/02/2023
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning
We present a text mining system to support the exploration of large volu...
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03/16/2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Counterfactual explanations are an increasingly popular form of post hoc...
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01/27/2023
Even if Explanations: Prior Work, Desiderata Benchmarks for Semi-Factual XAI
Recently, eXplainable AI (XAI) research has focused on counterfactual ex...
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12/19/2022
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise
Very few eXplainable AI (XAI) studies consider how users understanding o...
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12/16/2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Counterfactual explanations have emerged as a popular solution for the e...
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04/21/2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI
Counterfactual explanations are increasingly used to address interpretab...
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11/05/2021
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation
Learning from class imbalanced datasets poses challenges for many machin...
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07/20/2021
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
Whilst an abundance of techniques have recently been proposed to generat...
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04/29/2021
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation
Recently, it has been proposed that fruitful synergies may exist between...
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04/08/2021
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future
Climate change poses a major challenge to humanity, especially in its im...
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02/26/2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
In recent years, there has been an explosion of AI research on counterfa...
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01/22/2021
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Counterfactual explanations provide a potentially significant solution t...
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01/06/2021
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows
Mastitis is a billion dollar health problem for the modern dairy industr...
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09/28/2020
Instance-Based Counterfactual Explanations for Time Series Classification
In recent years there has been a cascade of research in attempting to ma...
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09/10/2020
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
This paper reports two experiments (N=349) on the impact of post hoc exp...
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09/10/2020
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
There is a growing concern that the recent progress made in AI, especial...
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05/26/2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)
Recently, a groundswell of research has identified the use of counterfac...
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05/20/2019
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning
The notion of twin systems is proposed to address the eXplainable AI (XA...
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05/17/2019
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins
This paper surveys an approach to the XAI problem, using post-hoc explan...
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05/17/2019
Plotting Markson's 'Mistress'
The post-modern novel 'Wittgenstein's Mistress' by David Markson (1988) ...
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05/17/2019
The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected
The answers people give when asked to 'think of the unexpected' for ever...
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10/14/2017
On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools
Since 2013 researchers at University College Dublin in the Insight Centr...
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05/26/2017
Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines
We present a software tool that employs state-of-the-art natural languag...
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08/09/2013
Cognitive residues of similarity
What are the cognitive after-effects of making a similarity judgement? W...
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08/09/2013
Surprise: Youve got some explaining to do
Why are some events more surprising than others? We propose that events ...
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08/09/2013