Mark T. Keane

University College Dublin — Ireland

Computer Science · Physical Sciences

34h-index4.9kcitations256works2.42yr avg
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Research Topics

Explainable Artificial Intelligence (XAI)(41), Language, Metaphor, and Cognition(25), Advanced Text Analysis Techniques(25), Adversarial Robustness in Machine Learning(19), Cognitive Science and Mapping(19)

Publications256 total

Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
arXiv (Cornell University)·2025Open Access
Explaining and Auditing with “Even-If”: Uses for Semi-factual Explanations in AI/ML
Smart innovation, systems and technologies·2025Open Access
WITHDRAWN
2024Open Access
Categorical and Continuous Features in Counterfactual Explanations of AI Systems
ACM Transactions on Interactive Intelligent Systems·2024· 6 citedOpen Access
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)
Proceedings of the AAAI Conference on Artificial Intelligence·2024Open Access
A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction
Computers and Electronics in Agriculture·2024· 7 citedOpen Access
Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides?
Lecture notes in computer science·2024· 2 citedOpen Access
Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI
Lecture notes in computer science·2024· 4 citedOpen Access
Counterfactual explanations for misclassified images: How human and machine explanations differ
Artificial Intelligence·2023· 15 citedOpen Access
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
2023· 10 citedOpen Access
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting
2023· 2 citedOpen Access
Early detection of subclinical mastitis in lactating dairy cows using cow-level features
Journal of Dairy Science·2023· 31 citedOpen Access
Categorical and Continuous Features in Counterfactual Explanations of AI Systems
2023· 25 citedOpen Access
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
arXiv (Cornell University)·2023· 1 citedOpen Access
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
arXiv (Cornell University)·2023Open Access
Explaining Classifications to Non-experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise
Lecture notes in computer science·2023· 9 cited
User tests & techniques for the post-hoc explanation of deep learning
Elsevier eBooks·2023
List of contributors
Elsevier eBooks·2023
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise
arXiv (Cornell University)·2022· 1 citedOpen Access
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
arXiv (Cornell University)·2022· 2 citedOpen Access
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Frequent Co-authors

Barry Smyth(10), Martin Halvey(6), Eoin M. Kenny(6), Michael W. Eysenck(3), L. Shalloo(3), Fintan Costello(3), Ruth M. J. Byrne(3), Rebecca Maguire(2), Phil Maguire(2), Louise Connell(2), Meadhbh I. Foster(2), Claudia Orellana-Rodriguez(2), Pádraig Cunningham(2), E. Ruelle(2), Greta Warren(2), Derek Greene(2), Ramón López de Mántaras(1), David McSherry(1), Derek Bridge(1), David Leake(1)