How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems. - Mark T. Keane; Eoin M. Kenny (ICCBR, 2019)

Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI). - Eoin M. Kenny; Elodie Ruelle; Anne Geoghegan; Laurence Shalloo; Micheál O'Leary; Michael O'Donovan; Mark T. Keane (ICCBR, 2019)

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 (IJCAI, 2019)

How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins. - Mark T. Keane; Eoin M. Kenny (CoRR, 2019)

The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning. - Mark T. Keane; Eoin M. Kenny (CoRR, 2019)

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. - Linyi Yang; Eoin M. Kenny; Tin Lok James Ng; Yi Yang 042; Barry Smyth; Ruihai Dong (COLING, 2020)

Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. - Eoin M. Kenny; Eoin D. Delaney; Derek Greene; Mark T. Keane (ICPR Workshops (3), 2020)

Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). - Eoin M. Kenny; Elodie Ruelle; Anne Geoghegan; Laurence Shalloo; Micheál O'Leary; Michael O'Donovan; Mohammed Temraz; Mark T. Keane (IJCAI, 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. - Courtney Ford; Eoin M. Kenny; Mark T. Keane (CoRR, 2020)

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. - Eoin M. Kenny; Mark T. Keane (AAAI, 2021)

Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. - Mohammed Temraz; Eoin M. Kenny; Elodie Ruelle; Laurence Shalloo; Barry Smyth; Mark T. Keane (ICCBR, 2021)

If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. - Mark T. Keane; Eoin M. Kenny; Eoin Delaney; Barry Smyth (IJCAI, 2021)

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; Mark T. Keane (Artif. Intell., 2021)

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. - Mark T. Keane; Eoin M. Kenny; Mohammed Temraz; Derek Greene; Barry Smyth (CoRR, 2021)

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 (Knowl. Based Syst., 2021)

Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. - Eoin M. Kenny; Mycal Tucker; Julie Shah (ICLR, 2023)

Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. - Eoin M. Kenny; Eoin Delaney; Mark T. Keane (IJCAI, 2023)

The Utility of "Even if" Semifactual Explanation to Optimise Positive Outcomes. - Eoin M. Kenny; Weipeng Huang (NeurIPS, 2023)

Human-Guided Complexity-Controlled Abstractions. - Andi Peng; Mycal Tucker; Eoin M. Kenny; Noga Zaslavsky; Pulkit Agrawal 001; Julie A. Shah (NeurIPS, 2023)

Explaining and Auditing with "Even-If": Uses for Semi-factual Explanations in AI/ML. - Eoin M. Kenny; Weipeng Huang; Saugat Aryal; Mark T. Keane (KES-IDT, 2024)

A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction. - Eoin M. Kenny; Elodie Ruelle; Mark T. Keane; Laurence Shalloo (Comput. Electron. Agric., 2024)

Explainable deep learning improves human mental models of self-driving cars. - Eoin M. Kenny; Akshay Dharmavaram; Sang Uk Lee; Tung Phan-Minh; Shreyas Rajesh; Yunqing Hu; Laura Major; Momchil S. Tomov; Julie A. Shah (CoRR, 2024)

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off. - Eoin M. Kenny; Julie A. Shah (CoRR, 2024)