Preliminary Analysis for Design. - Mark T. Keane; Peter Johnson 001 (BCS HCI, 1987)

Where's the Beef? The Absence of Pragmatic Factors in Pragmatic Theories of Analogy. - Mark T. Keane (ECAI, 1988)

The Incremental Analogy Machine: A Computational Model of Analogy. - Mark T. Keane; Mike Brayshaw (EWSL, 1988)

Analogical mechanisms. - Mark T. Keane (Artif. Intell. Rev., 1988)

Conceptual Scaffolding: Using Metaphors to Build Knowledge Structures. - Tony Veale; Mark T. Keane (ECAI, 1992)

Conceptual Scaffolding: A Spatially Founded Meaning Representation for Metaphor Comprehension. - Tony Veale; Mark T. Keane (Comput. Intell., 1992)

Analogical Asides on Case-Based Reasoning. - Mark T. Keane (EWCBR, 1993)

Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval. - Barry Smyth; Mark T. Keane (EWCBR, 1993)

Effective retrieval in Hospital Information Systems: the use of context in answering queries to Patient Discharge Summaries. - Brenda Nangle; Mark T. Keane (Artif. Intell. Medicine, 1994)

Constraints on Analogical Mapping: A Comparison of Three Models. - Mark T. Keane (Cogn. Sci., 1994)

On the Automatic Generation of Cases Libraries by Chunking Chess Games. - Stephen Flinter; Mark T. Keane (ICCBR, 1995)

Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. - Kathleen Hanney; Mark T. Keane; Barry Smyth; Padraig Cunningham (ICCBR, 1995)

Experiments On Adaptation-Guided Retrieval In Case-Based Design. - Barry Smyth; Mark T. Keane (ICCBR, 1995)

Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. - Barry Smyth; Mark T. Keane (IJCAI, 1995)

Learning Adaptation Rules from a Case-Base. - Kathleen Hanney; Mark T. Keane (EWCBR, 1996)

Using adaptation knowledge to retrieve and adapt design cases. - Barry Smyth; Mark T. Keane (Knowl. Based Syst., 1996)

The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases. - Kathleen Hanney; Mark T. Keane (ICCBR, 1997)

The Competence of Sub-Optimal Theories of STructure Mapping on Hard Analogies. - Tony Veale; Mark T. Keane (IJCAI (1), 1997)

Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning. - Barry Smyth; Mark T. Keane (Artif. Intell., 1998)

Efficient creativity: constraint-guided conceptual combination. - Fintan J. Costello; Mark T. Keane (Cogn. Sci., 2000)

Dynamic similarity: a processing perspective on similarity. - Mark T. Keane; Barry Smyth; Joseph O'Sullivan (Similarity and Categorization, 2001)

Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design. - Barry Smyth; Mark T. Keane; Padraig Cunningham (IEEE Trans. Knowl. Data Eng., 2001)

Modelling the Interpretation of Novel Compounds. - Dermot Lynott; Mark T. Keane (ECAI, 2004)

Role Swapping in Multi-Agent Sensor Webs. - Rónán Mac Ruairi; Mark T. Keane (ECAI, 2004)

Conceptual Combination with PUNC. - Dermot Lynott; Georgios Tagalakis; Mark T. Keane (Artif. Intell. Rev., 2004)

An Evaluation of Gisting in Mobile Search. - Karen Church; Mark T. Keane; Barry Smyth (ECIR, 2005)

Towards More Intelligent Mobile Search. - Karen Church; Mark T. Keane; Barry Smyth (IJCAI, 2005)

A CLP-Based, Diagnosticity-Driven System for Concept Combinations. - Georgios Tagalakis; Daniela Ferrari; Mark T. Keane (IJCAI, 2005)

Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. - Martin Halvey; Mark T. Keane; Barry Smyth (MLDM, 2005)

Geometric Proportional Analogies In Topographic Maps: Theory and Application. - Emma-Claire Mullally; Diarmuid P. O'Donoghue; Amy J. Bohan; Mark T. Keane (SGAI Conf. (Applications), 2005)

Time Based Segmentation of Log Data for User Navigation Prediction in Personalization. - Martin Halvey; Mark T. Keane; Barry Smyth (Web Intelligence, 2005)

Predicting navigation patterns on the mobile-internet using time of the week. - Martin Halvey; Mark T. Keane; Barry Smyth (WWW (Special interest tracks and posters), 2005)

Remembering What You Forget in an Online Shopping Context. - Martin Halvey; Mark T. Keane (J. Adv. Comput. Intell. Intell. Informatics, 2005)

Retrieval, reuse, revision and retention in case-based reasoning. - Ramón López de Mántaras; David McSherry; Derek G. Bridge; David B. Leake; Barry Smyth; Susan Craw; Boi Faltings; Mary Lou Maher; Michael T. Cox; Kenneth D. Forbus; Mark T. Keane; Agnar Aamodt; et al. (Knowl. Eng. Rev., 2005)

Temporal Rules for Predicting User Navigation in the Mobile Web. - Martin Halvey; Mark T. Keane; Barry Smyth (AH, 2006)

Time based patterns in mobile-internet surfing. - Martin Halvey; Mark T. Keane; Barry Smyth (CHI, 2006)

Evaluating interfaces for intelligent mobile search. - Karen Church; Barry Smyth; Mark T. Keane (W4A, 2006)

Temporal rules for mobile web personalization. - Martin Halvey; Mark T. Keane; Barry Smyth (WWW, 2006)

Predictive modeling of first-click behavior in web-search. - Maeve O'Brien; Mark T. Keane; Barry Smyth (WWW, 2006)

Mobile web surfing is the same as web surfing. - Martin Halvey; Mark T. Keane; Barry Smyth (Commun. ACM, 2006)

A Model of Plausibility. - Louise Connell; Mark T. Keane (Cogn. Sci., 2006)

Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps. - Diarmuid P. O'Donoghue; Amy J. Bohan; Mark T. Keane (New Gener. Comput., 2006)

Analysis of online video search and sharing. - Martin Halvey; Mark T. Keane (Hypertext, 2007)

An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events. - Rónán Mac Ruairi; Mark T. Keane (IJCAI, 2007)

Modeling user behavior using a search-engine. - Maeve O'Brien; Mark T. Keane (IUI, 2007)

Exploring social dynamics in online media sharing. - Martin Halvey; Mark T. Keane (WWW, 2007)

An assessment of tag presentation techniques. - Martin Halvey; Mark T. Keane (WWW, 2007)

Are people biased in their use of search engines? - Mark T. Keane; Maeve O'Brien; Barry Smyth (Commun. ACM, 2008)

Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles. - Aaron Gerow; Mark T. Keane (CogSci, 2011)

Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles. - Aaron Gerow; Mark T. Keane (CogSci, 2011)

Mining the Web for the "Voice of the Herd" to Track Stock Market Bubbles. - Aaron Gerow; Mark T. Keane (IJCAI, 2011)

Inferring Metaphoric Structure from Financial Articles Using Bayesian Sparse Models. - Martin Sälzle; Mark T. Keane (CogSci, 2012)

A Creative Analogy Machine: Results and Challenges. - Diarmuid P. O'Donoghue; Mark T. Keane (ICCC, 2012)

Surprise! You've Got Some Explaining to Do. - Meadhbh Foster; Mark T. Keane (CogSci, 2013)

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 (CogSci, 2013)

Cognitive Residues of Similarity: After-Effects of Similarity Computations in Visual Search. - Stephanie O'Toole; Mark T. Keane (CogSci, 2013)

Innovation networks. - Petra Ahrweiler; Mark T. Keane (CoRR, 2013)

Surprise: Youve got some explaining to do. - Meadhbh Foster; Mark T. Keane (CoRR, 2013)

Deconstructing analogy. - Mark T. Keane (CoRR, 2013)

Cognitive residues of similarity. - Stephanie O'Toole; Mark T. Keane (CoRR, 2013)

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 (CogSci, 2014)

It's distributions all the way down!: Second order changes in statistical distributions also occur. - Mark T. Keane; Aaron Gerow (CoRR, 2014)

A Computational Theory of Subjective Probability. - Phil Maguire; Philippe Moser; Rebecca Maguire; Mark T. Keane (CoRR, 2014)

The effect of soft, modal and loud voice levels on entrainment in noisy conditions. - Éva Székely; Mark T. Keane; Julie Carson-Berndsen (INTERSPEECH, 2015)

Spreading the news: how can journalists gain more engagement for their tweets? - Claudia Orellana-Rodriguez; Derek Greene; Mark T. Keane (WebSci, 2016)

Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. - Susan Leavy; Emilie Pine; Mark T. Keane (DH, 2017)

LOOM: Showing the Dynamics of Power Laws in Twitter Data. - Maryanne Doyle; Mark T. Keane (IV, 2017)

Plotting Markson's "Mistress". - Conor Kelleher; Mark T. Keane (LaTeCH@ACL, 2017)

MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art. - Johanna Barbier; Patricia Kenny; Jordan Young; Jean-Marie Normand; Mark T. Keane; Muiris O'Sullivan; Anthony Ventresque (VSMM, 2017)

Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines. - Terrence Szymanski; Claudia Orellana-Rodriguez; Mark T. Keane (CoRR, 2017)

On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools. - Georgiana Ifrim; Derek Greene; Mark T. Keane; Claudia Orellana-Rodriguez; Bichen Shi; Gevorg Poghosyan (CoRR, 2017)

Spreading One's Tweets: How Can Journalists Gain Attention for their Tweeted News? - Claudia Orellana-Rodriguez; Derek Greene; Mark T. Keane (J. Web Sci., 2017)

[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; Ján Bajana; Kamil Jastzab; Ralph Croly; Rob Quigley; Ross McKiernan; Paul Sweeney; et al. (ISMAR Adjunct, 2018)

Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. - Susan Leavy; Emilie Pine; Mark T. Keane (ECML/PKDD (3), 2018)

Modeling and Predicting News Consumption on Twitter. - Claudia Orellana-Rodriguez; Mark T. Keane (UMAP, 2018)

Attention to news and its dissemination on Twitter: A survey. - Claudia Orellana-Rodriguez; Mark T. Keane (Comput. Sci. Rev., 2018)

The Expected Unexpected & Unexpected Unexpected. - Molly S. Quinn; Katherine Campbell; Mark T. Keane (CogSci, 2019)

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 (ICCBR, 2019)

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; Micheál O'Leary; Michael O'Donovan; Mark T. Keane (ICCBR, 2019)

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 (IJCAI, 2019)

How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins. - Mark T. Keane; Eoin M. Kenny (CoRR, 2019)

The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected. - Molly S. Quinn; Kathleen Campbell; Mark T. Keane (CoRR, 2019)

The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning. - Mark T. Keane; Eoin M. Kenny (CoRR, 2019)

Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding. - Susan Leavy; Mark T. Keane; Emilie Pine (Digit. Scholarsh. Humanit., 2019)

Intuitionistic Fuzzy Logit Model of Discrete Choice. - Manish Aggarwal; Madasu Hanmandlu; Mark T. Keane; Kanad K. Biswas (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

The Role of Surprise in Learning: Different Surprising Outcomes Affect Memorability Differentially. - Meadhbh I. Foster; Mark T. Keane (Top. Cogn. Sci., 2019)

Seeing Patterns in Randomness: A Computational Model of Surprise. - Phil Maguire; Philippe Moser; Rebecca Maguire; Mark T. Keane (Top. Cogn. Sci., 2019)

Editors' Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together. - Edward L. Munnich; Meadhbh I. Foster; Mark T. Keane (Top. Cogn. Sci., 2019)

Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). - Mark T. Keane; Barry Smyth (ICCBR, 2020)

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 (ICPR Workshops (3), 2020)

Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). - Eoin M. Kenny; Elodie Ruelle; Anne Geoghegan; Laurence Shalloo; Micheál O'Leary; Michael O'Donovan; Mohammed Temraz; Mark T. Keane (IJCAI, 2020)

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. - Courtney Ford; Eoin M. Kenny; Mark T. Keane (CoRR, 2020)

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. - Eoin M. Kenny; Mark T. Keane (AAAI, 2021)

Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. - Duncan Wallace; Eoin Delaney; Mark T. Keane; Derek Greene (AICS, 2021)

Explanation in Human Thinking. - Jörg 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 (CogSci, 2021)

Instance-Based Counterfactual Explanations for Time Series Classification. - Eoin Delaney; Derek Greene; Mark T. Keane (ICCBR, 2021)

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 (ICCBR, 2021)

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 (IJCAI, 2021)

Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies. - Eoin M. Kenny; Courtney Ford; Molly S. Quinn; Mark T. Keane (Artif. Intell., 2021)

Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows. - Cathal Ryan; Christophe Guéret; Donagh Berry; Medb Corcoran; Mark T. Keane; Brian Mac Namee (CoRR, 2021)

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. - Mark T. Keane; Eoin M. Kenny; Mohammed Temraz; Derek Greene; Barry Smyth (CoRR, 2021)

Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. - Eoin Delaney; Derek Greene; Mark T. Keane (CoRR, 2021)

Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation. - Mohammed Temraz; Mark T. Keane (CoRR, 2021)

Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI. - Eoin M. Kenny; Mark T. Keane (Knowl. Based Syst., 2021)

Counterfactual Explanations for Prediction and Diagnosis in XAI. - Xinyue Dai; Mark T. Keane; Laurence Shalloo; Elodie Ruelle; Ruth M. J. Byrne (AIES, 2022)

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 (ICCBR, 2022)

A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. - Barry Smyth; Mark T. Keane (ICCBR, 2022)

"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 (ICCBR, 2022)

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 (ICPR Workshops (3), 2022)

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 (CAKR@IJCAI, 2022)

Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data. - Lucile Riaboff; Laurence Shalloo; Alan F. Smeaton; Sébastien Couvreur; Aurélien Madouasse; Mark T. Keane (Comput. Electron. Agric., 2022)

Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. - Saugat Aryal; Mark T. Keane (IJCAI, 2023)

Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. - Eoin M. Kenny; Eoin Delaney; Mark T. Keane (IJCAI, 2023)

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. - Greta Warren; Mark T. Keane; Christophe Guéret; Eoin Delaney (CoRR, 2023)

Counterfactual explanations for misclassified images: How human and machine explanations differ. - Eoin Delaney; Arjun Pakrashi; Derek Greene; Mark T. Keane (Artif. Intell., 2023)

Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). - Eoin Delaney; Arjun Pakrashi; Derek Greene; Mark T. Keane (AAAI, 2024)

Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI (short paper). - Saugat Aryal; Mark T. Keane (ICCBR Workshops, 2024)

Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides? - Saugat Aryal; Mark T. Keane (ICCBR, 2024)

Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. - Greta Warren; Eoin Delaney; Christophe Guéret; Mark T. Keane (ICCBR, 2024)

Explaining and Auditing with "Even-If": Uses for Semi-factual Explanations in AI/ML. - Eoin M. Kenny; Weipeng Huang; Saugat Aryal; Mark T. Keane (KES-IDT, 2024)

A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction. - Eoin M. Kenny; Elodie Ruelle; Mark T. Keane; Laurence Shalloo (Comput. Electron. Agric., 2024)

A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers. - Stephen McAleese; Mark T. Keane (CoRR, 2024)

Explainable AI for Sequential Decision Making (Dagstuhl Seminar 24372). - Hendrik Baier; Mark T. Keane; Sarath Sreedharan; Silvia Tulli; Abhinav Verma; Stylianos Loukas Vasileiou (Dagstuhl Reports, 2024)

Categorical and Continuous Features in Counterfactual Explanations of AI Systems. - Greta Warren; Ruth M. J. Byrne; Mark T. Keane (ACM Trans. Interact. Intell. Syst., 2024)

Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions. - Courtney Ford; Mark T. Keane (CoRR, 2025)