Eoin M. Kenny

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Feature Weighting

Top Venues

Publications

Eoin M. Kenny, Elodie Ruelle, Mark T. Keane, Laurence Shalloo
A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction. Comput. Electron. Agric. 219 (2024)
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah
Human-Guided Complexity-Controlled Abstractions. CoRR (2023)
Eoin M. Kenny, Weipeng Huang
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes. CoRR (2023)
Eoin M. Kenny, Eoin Delaney, Mark T. Keane
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. IJCAI (2023)
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah
Human-Guided Complexity-Controlled Abstractions. NeurIPS (2023)
Eoin M. Kenny, Weipeng Huang
The Utility of "Even if" Semifactual Explanation to Optimise Positive Outcomes. NeurIPS (2023)
Eoin M. Kenny, Mycal Tucker, Julie Shah
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. ICLR (2023)
Eoin M. Kenny, Eoin Delaney, Mark T. Keane
Advancing Post Hoc Case Based Explanation with Feature Highlighting. CoRR (2023)
Eoin M. Kenny, Mark T. Keane
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. AAAI (2021)
Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. CoRR (2021)
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. ICCBR (2021)
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR (2021)
Eoin M. Kenny, Courtney Ford, Molly S. Quinn, Mark T. Keane
explanations-by-example: The effect of explanations and error-rates in XAI user studies. Artif. Intell. 294 (2021)
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. CoRR (2021)
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. IJCAI (2021)
Eoin M. Kenny, Mark T. Keane
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI. Knowl. Based Syst. 233 (2021)
Eoin M. Kenny, Mark T. Keane
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. CoRR (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR (2020)
Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). IJCAI (2020)
Courtney Ford, Eoin M. Kenny, Mark T. Keane
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. CoRR (2020)
Eoin M. Kenny, Eoin D. Delaney, Derek Greene, Mark T. Keane
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. ICPR Workshops (3) (2020)
Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mark T. Keane
Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI). ICCBR (2019)
Mark T. Keane, Eoin M. Kenny
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. ICCBR (2019)
Mark T. Keane, Eoin M. Kenny
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning. CoRR (2019)
Eoin M. Kenny, Mark T. Keane
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI. IJCAI (2019)
Mark T. Keane, Eoin M. Kenny
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins. CoRR (2019)