| 2023 | ICLR | Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. | Eoin M. Kenny, Mycal Tucker, Julie Shah |
| 2023 | IJCAI | Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. | Eoin M. Kenny, Eoin Delaney, Mark T. Keane |
| 2021 | AAAI | On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. | Eoin M. Kenny, Mark T. Keane |
| 2021 | ICCBR | 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 |
| 2021 | IJCAI | 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 |
| 2020 | COLING | Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. | Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong |
| 2020 | ICPR | 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 |
| 2020 | IJCAI | Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). | Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Michel O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane |
| 2019 | ICCBR | 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 |
| 2019 | ICCBR | 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, Michel O'Leary, Michael O'Donovan, Mark T. Keane |
| 2019 | IJCAI | 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 |