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Eoin M. Kenny
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2020 – today
- 2024
- [j3]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: 108805 (2024) - 2023
- [c13]Eoin M. Kenny, Mycal Tucker, Julie Shah:
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. ICLR 2023 - [c12]Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. IJCAI 2023: 427-435 - [c11]Eoin M. Kenny, Weipeng Huang:
The Utility of "Even if" Semifactual Explanation to Optimise Positive Outcomes. NeurIPS 2023 - [c10]Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah:
Human-Guided Complexity-Controlled Abstractions. NeurIPS 2023 - [i11]Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah:
Human-Guided Complexity-Controlled Abstractions. CoRR abs/2310.17550 (2023) - [i10]Eoin M. Kenny, Weipeng Huang:
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes. CoRR abs/2310.18937 (2023) - [i9]Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post Hoc Case Based Explanation with Feature Highlighting. CoRR abs/2311.03246 (2023) - 2021
- [j2]Eoin M. Kenny
Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies. Artif. Intell. 294: 103459 (2021) - [j1]Eoin M. Kenny
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI. Knowl. Based Syst. 233: 107530 (2021) - [c9]Eoin M. Kenny, Mark T. Keane:
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. AAAI 2021: 11575-11585 - [c8]Mohammed Temraz
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. ICCBR 2021: 216-231 - [c7]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: 4466-4474 - [i8]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 abs/2103.01035 (2021) - [i7]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 abs/2104.04008 (2021) - [i6]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 abs/2104.14461 (2021) - 2020
- [c6]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: 6150-6160 - [c5]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: 20-34 - [c4]Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). IJCAI 2020: 4740-4744 - [i5]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 abs/2009.06349 (2020) - [i4]Eoin M. Kenny, Mark T. Keane:
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. CoRR abs/2009.06399 (2020) - [i3]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 abs/2010.12512 (2020)
2010 – 2019
- 2019
- [c3]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: 155-171 - [c2]Eoin M. Kenny, Elodie Ruelle
Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI). ICCBR 2019: 172-187 - [c1]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: 2708-2715 - [i2]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 abs/1905.07186 (2019) - [i1]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 abs/1905.08069 (2019)
Coauthor Index
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