Eoin M. Kenny

30 papers A* 8B 1C 3Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction.
Comput. Electron. Agric.
Eoin M. Kenny, Elodie Ruelle, Mark T. Keane, Laurence Shalloo
2024 J jnl
Explainable deep learning improves human mental models of self-driving cars.
CoRR
Eoin M. Kenny, Akshay Dharmavaram, Sang Uk Lee, Tung Phan-Minh, Shreyas Rajesh, Yunqing Hu, Laura Major, Momchil S. Tomov, Julie A. Shah
2024 — conf
Explaining and Auditing with "Even-If": Uses for Semi-factual Explanations in AI/ML.
KES-IDT
Eoin M. Kenny, Weipeng Huang, Saugat Aryal, Mark T. Keane
2024 J jnl
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off.
CoRR
Eoin M. Kenny, Julie A. Shah
2023 J jnl
Advancing Post Hoc Case Based Explanation with Feature Highlighting.
CoRR
Eoin M. Kenny, Eoin Delaney, Mark T. Keane
2023 A* conf
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting.
IJCAI
Eoin M. Kenny, Eoin Delaney, Mark T. Keane
2023 A* conf
Human-Guided Complexity-Controlled Abstractions.
NeurIPS
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah
2023 J jnl
Human-Guided Complexity-Controlled Abstractions.
CoRR
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah
2023 A* conf
The Utility of "Even if" Semifactual Explanation to Optimise Positive Outcomes.
NeurIPS
Eoin M. Kenny, Weipeng Huang
2023 J jnl
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes.
CoRR
Eoin M. Kenny, Weipeng Huang
2023 A* conf
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes.
ICLR
Eoin M. Kenny, Mycal Tucker, Julie Shah
2021 J jnl
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI.
Knowl. Based Syst.
Eoin M. Kenny, Mark T. Keane
2021 J jnl
Explaining black-box classifiers using
Artif. Intell.
Eoin M. Kenny, Courtney Ford, Molly S. Quinn, Mark T. Keane
2021 C conf
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.
ICCBR
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
2021 J jnl
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.
CoRR
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
2021 A* conf
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques.
IJCAI
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
2021 J jnl
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques.
CoRR
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
2021 A* conf
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning.
AAAI
Eoin M. Kenny, Mark T. Keane
2021 J jnl
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation.
CoRR
Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth
2020 A* conf
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract).
IJCAI
Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane
2020 B conf
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.
COLING
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020 J jnl
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.
CoRR
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020 J jnl
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning.
CoRR
Eoin M. Kenny, Mark T. Keane
2020 J jnl
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
Courtney Ford, Eoin M. Kenny, Mark T. Keane
2020 — conf
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective.
ICPR Workshops (3)
Eoin M. Kenny, Eoin D. Delaney, Derek Greene, Mark T. Keane
2019 J jnl
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins.
CoRR
Mark T. Keane, Eoin M. Kenny
2019 C conf
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
Mark T. Keane, Eoin M. Kenny
2019 C conf
Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI).
ICCBR
Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mark T. Keane
2019 J jnl
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning.
CoRR
Mark T. Keane, Eoin M. Kenny
2019 A* conf
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI.
IJCAI
Eoin M. Kenny, Mark T. Keane