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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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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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10/23/2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Corporate mergers and acquisitions (M A) account for billions of dolla...
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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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05/20/2019
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
