Eoin M. Kenny

Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies

Eoin M. Kenny, Courtney Ford, Molly S. Quinn et al. · Artificial Intelligence · 2021 · 191 citations · Full text

Artificial Intelligence, Natural Language Processing, Convolutional Neural Network +15

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

Eoin M. Kenny, Mark T. Keane · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 86 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI

Eoin M. Kenny, Mark T. Keane · 2019 · 73 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +27

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Linyi Yang, Eoin M. Kenny, Tin Lok James Ng et al. · 2020 · 59 citations · Full text

Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI

Eoin M. Kenny, Mark T. Keane · Knowledge-Based Systems · 2021 · 41 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +25