| 2026 | AAAI | Explanations for Sequential Decision-Making - an Overview. | Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma |
| 2024 | AAAI | Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). | Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane |
| 2024 | ICCBR | Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI (short paper). | Saugat Aryal, Mark T. Keane |
| 2024 | ICCBR | Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides? | Saugat Aryal, Mark T. Keane |
| 2024 | ICCBR | Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. | Greta Warren, Eoin Delaney, Christophe Guret, Mark T. Keane |
| 2023 | IJCAI | Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. | Saugat Aryal, Mark T. Keane |
| 2023 | IJCAI | Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. | Eoin M. Kenny, Eoin Delaney, Mark T. Keane |
| 2023 | IUI | Categorical and Continuous Features in Counterfactual Explanations of AI Systems. | Greta Warren, Ruth M. J. Byrne, Mark T. Keane |
| 2022 | AIES | Counterfactual Explanations for Prediction and Diagnosis in XAI. | Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne |
| 2022 | ICCBR | Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. | Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane |
| 2022 | ICCBR | A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. | Barry Smyth, Mark T. Keane |
| 2022 | ICCBR | "Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). | Greta Warren, Barry Smyth, Mark T. Keane |
| 2022 | ICPR | Explaining Classifications to Non-experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise. | Courtney Ford, Mark T. Keane |
| 2022 | IJCAI | Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. | Greta Warren, Mark T. Keane, Ruth M. J. Byrne |
| 2021 | AAAI | On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. | Eoin M. Kenny, Mark T. Keane |
| 2021 | CogSci | Explanation in Human Thinking. | Jrg Cassens, Lorenz Habenicht, Julian Blohm, Rebekah Wegener, Joanna Korman, Sangeet Khemlani, Giorgio Gronchi, Ruth M. J. Byrne, Greta Warren, Molly S. Quinn, Mark T. Keane |
| 2021 | ICCBR | Instance-Based Counterfactual Explanations for Time Series Classification. | Eoin Delaney, Derek Greene, 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 | ICCBR | Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). | Mark T. Keane, Barry Smyth |
| 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 | CogSci | The Expected Unexpected & Unexpected Unexpected. | Molly S. Quinn, Katherine Campbell, 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 |
| 2018 | ISMAR | [Poster] Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others. | Andrew Pringle, Abraham G. Campbell, Stefanie Hutka, Alberto Torrasso, Colin Couper, Fabian Strunden, Jn Bajana, Kamil Jastzab, Ralph Croly, Rob Quigley, Ross McKiernan, Paul Sweeney, Mark T. Keane |
| 2017 | IV | LOOM: Showing the Dynamics of Power Laws in Twitter Data. | Maryanne Doyle, Mark T. Keane |
| 2015 | Interspeech | The effect of soft, modal and loud voice levels on entrainment in noisy conditions. | va Szkely, Mark T. Keane, Julie Carson-Berndsen |
| 2014 | CogSci | Triangulating Surprise: Expectations, Uncertainty, and Making Sense. | Meadhbh Foster, Mark T. Keane, Jeffrey Loewenstein, Phil Maguire, Rebecca Maguire, Ross May, Martin Smith-Rodden, Ivan K. Ash, Edward Munnich, Michael Andrew Ranney |
| 2013 | CogSci | Surprise! You've Got Some Explaining to Do. | Meadhbh Foster, Mark T. Keane |
| 2013 | CogSci | A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy]. | Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane |
| 2013 | CogSci | Cognitive Residues of Similarity: After-Effects of Similarity Computations in Visual Search. | Stephanie O'Toole, Mark T. Keane |
| 2012 | CogSci | Inferring Metaphoric Structure from Financial Articles Using Bayesian Sparse Models. | Martin Slzle, Mark T. Keane |
| 2011 | CogSci | Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles. | Aaron Gerow, Mark T. Keane |
| 2011 | CogSci | Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles. | Aaron Gerow, Mark T. Keane |
| 2011 | IJCAI | Mining the Web for the "Voice of the Herd" to Track Stock Market Bubbles. | Aaron Gerow, Mark T. Keane |
| 2007 | IJCAI | An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events. | Rnn Mac Ruairi, Mark T. Keane |
| 2007 | IUI | Modeling user behavior using a search-engine. | Maeve O'Brien, Mark T. Keane |
| 2007 | WWW | Exploring social dynamics in online media sharing. | Martin Halvey, Mark T. Keane |
| 2007 | WWW | An assessment of tag presentation techniques. | Martin Halvey, Mark T. Keane |
| 2006 | CHI | Time based patterns in mobile-internet surfing. | Martin Halvey, Mark T. Keane, Barry Smyth |
| 2006 | WWW | Temporal rules for mobile web personalization. | Martin Halvey, Mark T. Keane, Barry Smyth |
| 2006 | WWW | Predictive modeling of first-click behavior in web-search. | Maeve O'Brien, Mark T. Keane, Barry Smyth |
| 2005 | ECIR | An Evaluation of Gisting in Mobile Search. | Karen Church, Mark T. Keane, Barry Smyth |
| 2005 | IJCAI | Towards More Intelligent Mobile Search. | Karen Church, Mark T. Keane, Barry Smyth |
| 2005 | IJCAI | A CLP-Based, Diagnosticity-Driven System for Concept Combinations. | Georgios Tagalakis, Daniela Ferrari, Mark T. Keane |
| 2005 | WWW | Predicting navigation patterns on the mobile-internet using time of the week. | Martin Halvey, Mark T. Keane, Barry Smyth |
| 2005 | SGAI | Geometric Proportional Analogies In Topographic Maps: Theory and Application. | Emma-Claire Mullally, Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Keane |
| 2004 | ECAI | Modelling the Interpretation of Novel Compounds. | Dermot Lynott, Mark T. Keane |
| 2004 | ECAI | Role Swapping in Multi-Agent Sensor Webs. | Rnn Mac Ruairi, Mark T. Keane |
| 1997 | ICCBR | The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases. | Kathleen Hanney, Mark T. Keane |
| 1997 | IJCAI | The Competence of Sub-Optimal Theories of STructure Mapping on Hard Analogies. | Tony Veale, Mark T. Keane |
| 1995 | ICCBR | On the Automatic Generation of Cases Libraries by Chunking Chess Games. | Stephen Flinter, Mark T. Keane |
| 1995 | ICCBR | Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. | Kathleen Hanney, Mark T. Keane, Barry Smyth, Padraig Cunningham |
| 1995 | ICCBR | Experiments On Adaptation-Guided Retrieval In Case-Based Design. | Barry Smyth, Mark T. Keane |
| 1995 | IJCAI | Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. | Barry Smyth, Mark T. Keane |
| 1992 | ECAI | Conceptual Scaffolding: Using Metaphors to Build Knowledge Structures. | Tony Veale, Mark T. Keane |
| 1988 | ECAI | Where's the Beef? The Absence of Pragmatic Factors in Pragmatic Theories of Analogy. | Mark T. Keane |