Mark T. Keane - RankMe

151 papers A* 18A 9B 9C 18Journal 68Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Explanations for Sequential Decision-Making - an Overview. AAAI Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma
2026	J	`jnl`	Informative Semi-Factuals for XAI: The Elaborated Explanations that People Prefer. CoRR Saugat Aryal, Mark T. Keane
2025	J	`jnl`	Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes. CoRR Mohammed Temraz, Mark T. Keane
2025	J	`jnl`	Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions. CoRR Courtney Ford, Mark T. Keane
2024	J	`jnl`	A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers. CoRR Stephen McAleese, Mark T. Keane
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`	Categorical and Continuous Features in Counterfactual Explanations of AI Systems. ACM Trans. Interact. Intell. Syst. Greta Warren, Ruth M. J. Byrne, Mark T. Keane
2024	A*	`conf`	Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2024	J	`jnl`	Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? CoRR Saugat Aryal, Mark T. Keane
2024	C	`conf`	Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides? ICCBR Saugat Aryal, Mark T. Keane
2024	J	`jnl`	Explainable AI for Sequential Decision Making (Dagstuhl Seminar 24372). Dagstuhl Reports Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma, Stylianos Loukas Vasileiou
2024	C	`conf`	Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. ICCBR Greta Warren, Eoin Delaney, Christophe Guéret, Mark T. Keane
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	—	`conf`	Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI (short paper). ICCBR Workshops Saugat Aryal, Mark T. Keane
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`	Categorical and Continuous Features in Counterfactual Explanations of AI Systems. IUI Greta Warren, Ruth M. J. Byrne, Mark T. Keane
2023	J	`jnl`	Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2023	A*	`conf`	Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. IJCAI Saugat Aryal, Mark T. Keane
2023	J	`jnl`	Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. CoRR Saugat Aryal, Mark T. Keane
2023	J	`jnl`	Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. CoRR Greta Warren, Mark T. Keane, Christophe Guéret, Eoin Delaney
2023	J	`jnl`	Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. CoRR Susan Leavy, Emilie Pine, Mark T. Keane
2022	C	`conf`	"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). ICCBR Greta Warren, Barry Smyth, Mark T. Keane
2022	C	`conf`	A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. ICCBR Barry Smyth, Mark T. Keane
2022	C	`ed.`	Case-Based Reasoning Research and Development - 30th International Conference, ICCBR 2022, Nancy, France, September 12-15, 2022, Proceedings ICCBR Mark T. Keane, Nirmalie Wiratunga
2022	J	`jnl`	Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2022	C	`conf`	Counterfactual Explanations for Prediction and Diagnosis in XAI. AIES Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne
2022	J	`jnl`	Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise. CoRR Courtney Ford, Mark T. Keane
2022	—	`conf`	Explaining Classifications to Non-experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise. ICPR Workshops (3) Courtney Ford, Mark T. Keane
2022	—	`conf`	Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. CAKR@IJCAI Greta Warren, Mark T. Keane, Ruth M. J. Byrne
2022	J	`jnl`	Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. CoRR Greta Warren, Mark T. Keane, Ruth M. J. Byrne
2022	C	`conf`	Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. ICCBR Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane
2022	J	`jnl`	Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data. Comput. Electron. Agric. Lucile Riaboff, Laurence Shalloo, Alan F. Smeaton, Sébastien Couvreur, Aurélien Madouasse, Mark T. Keane
2021	J	`jnl`	A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. CoRR Barry Smyth, Mark T. Keane
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	B	`conf`	Explanation in Human Thinking. CogSci 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
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	C	`conf`	Instance-Based Counterfactual Explanations for Time Series Classification. ICCBR Eoin Delaney, Derek Greene, Mark T. Keane
2021	—	`conf`	Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. AICS Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene
2021	A*	`conf`	On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. AAAI Eoin M. Kenny, Mark T. Keane
2021	J	`jnl`	Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows. CoRR Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee
2021	J	`jnl`	Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation. CoRR Mohammed Temraz, 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
2021	J	`jnl`	Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. CoRR Eoin Delaney, Derek Greene, Mark T. Keane
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	C	`conf`	Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). ICCBR Mark T. Keane, Barry Smyth
2020	J	`jnl`	Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). CoRR Mark T. Keane, Barry Smyth
2020	J	`jnl`	Instance-Based Counterfactual Explanations for Time Series Classification. CoRR Eoin Delaney, Derek Greene, Mark T. Keane
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
2020	—	`ed.`	Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Galway, Ireland, December 5-6, 2019. AICS Edward Curry, Mark T. Keane, Adegboyega Ojo, Dhaval Salwala
2020	—	`ed.`	Proceedings of the Workshop on Applied Deep Generative Networks co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, August 29th, 2020. ADGN@ECAI Jer Hayes, Cathal Gurrin, Azzurra Pini, Mark T. Keane
2019	J	`jnl`	Editors' Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together. Top. Cogn. Sci. Edward L. Munnich, Meadhbh I. Foster, 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	J	`jnl`	Intuitionistic Fuzzy Logit Model of Discrete Choice. IEEE Trans. Emerg. Top. Comput. Intell. Manish Aggarwal, Madasu Hanmandlu, Mark T. Keane, Kanad K. Biswas
2019	J	`jnl`	Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding. Digit. Scholarsh. Humanit. Susan Leavy, Mark T. Keane, Emilie Pine
2019	J	`jnl`	Plotting Markson's 'Mistress'. CoRR Conor Kelleher, Mark T. Keane
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`	Seeing Patterns in Randomness: A Computational Model of Surprise. Top. Cogn. Sci. Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane
2019	B	`conf`	The Expected Unexpected & Unexpected Unexpected. CogSci Molly S. Quinn, Katherine Campbell, Mark T. Keane
2019	J	`jnl`	The Role of Surprise in Learning: Different Surprising Outcomes Affect Memorability Differentially. Top. Cogn. Sci. Meadhbh I. Foster, 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	J	`jnl`	The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected. CoRR Molly S. Quinn, Kathleen Campbell, Mark T. Keane
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
2018	J	`jnl`	Attention to news and its dissemination on Twitter: A survey. Comput. Sci. Rev. Claudia Orellana-Rodriguez, Mark T. Keane
2018	—	`conf`	Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. ECML/PKDD (3) Susan Leavy, Emilie Pine, Mark T. Keane
2018	A	`conf`	Modeling and Predicting News Consumption on Twitter. UMAP Claudia Orellana-Rodriguez, Mark T. Keane
2018	—	`conf`	[Poster] Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others. ISMAR Adjunct 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, Mark T. Keane
2017	J	`jnl`	Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines. CoRR Terrence Szymanski, Claudia Orellana-Rodriguez, Mark T. Keane
2017	C	`conf`	LOOM: Showing the Dynamics of Power Laws in Twitter Data. IV Maryanne Doyle, Mark T. Keane
2017	—	`conf`	MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art. VSMM Johanna Barbier, Patricia Kenny, Jordan Young, Jean-Marie Normand, Mark T. Keane, Muiris O'Sullivan, Anthony Ventresque
2017	—	`conf`	Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. DH Susan Leavy, Emilie Pine, Mark T. Keane
2017	J	`jnl`	On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools. CoRR Georgiana Ifrim, Derek Greene, Mark T. Keane, Claudia Orellana-Rodriguez, Bichen Shi, Gevorg Poghosyan
2017	—	`conf`	Plotting Markson's "Mistress". LaTeCH@ACL Conor Kelleher, Mark T. Keane
2017	J	`jnl`	Spreading One's Tweets: How Can Journalists Gain Attention for their Tweeted News? J. Web Sci. Claudia Orellana-Rodriguez, Derek Greene, Mark T. Keane
2016	—	`conf`	Spreading the news: how can journalists gain more engagement for their tweets? WebSci Claudia Orellana-Rodriguez, Derek Greene, Mark T. Keane
2015	A	`conf`	The effect of soft, modal and loud voice levels on entrainment in noisy conditions. INTERSPEECH Éva Székely, Mark T. Keane, Julie Carson-Berndsen
2014	J	`jnl`	A Computational Theory of Subjective Probability. CoRR Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane
2014	J	`jnl`	It's distributions all the way down!: Second order changes in statistical distributions also occur. CoRR Mark T. Keane, Aaron Gerow
2014	B	`conf`	Triangulating Surprise: Expectations, Uncertainty, and Making Sense. CogSci 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	B	`conf`	A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy]. CogSci Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane
2013	B	`conf`	Cognitive Residues of Similarity: After-Effects of Similarity Computations in Visual Search. CogSci Stephanie O'Toole, Mark T. Keane
2013	J	`jnl`	Cognitive residues of similarity. CoRR Stephanie O'Toole, Mark T. Keane
2013	J	`jnl`	Deconstructing analogy. CoRR Mark T. Keane
2013	J	`jnl`	Innovation networks. CoRR Petra Ahrweiler, Mark T. Keane
2013	B	`conf`	Surprise! You've Got Some Explaining to Do. CogSci Meadhbh Foster, Mark T. Keane
2013	J	`jnl`	Surprise: Youve got some explaining to do. CoRR Meadhbh Foster, Mark T. Keane
2012	C	`conf`	A Creative Analogy Machine: Results and Challenges. ICCC Diarmuid P. O'Donoghue, Mark T. Keane
2012	J	`jnl`	Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles CoRR Aaron Gerow, Mark T. Keane
2012	J	`jnl`	Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles CoRR Aaron Gerow, Mark T. Keane
2012	B	`conf`	Inferring Metaphoric Structure from Financial Articles Using Bayesian Sparse Models. CogSci Martin Sälzle, Mark T. Keane
2012	J	`jnl`	Mining the Web for the Voice of the Herd to Track Stock Market Bubbles CoRR Aaron Gerow, Mark T. Keane
2011	B	`conf`	Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles. CogSci Aaron Gerow, Mark T. Keane
2011	B	`conf`	Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles. CogSci Aaron Gerow, Mark T. Keane
2011	A*	`conf`	Mining the Web for the "Voice of the Herd" to Track Stock Market Bubbles. IJCAI Aaron Gerow, Mark T. Keane
2008	J	`jnl`	Are people biased in their use of search engines? Commun. ACM Mark T. Keane, Maeve O'Brien, Barry Smyth
2007	A*	`conf`	An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events. IJCAI Rónán Mac Ruairi, Mark T. Keane
2007	A*	`conf`	An assessment of tag presentation techniques. WWW Martin Halvey, Mark T. Keane
2007	—	`conf`	Analysis of online video search and sharing. Hypertext Martin Halvey, Mark T. Keane
2007	A*	`conf`	Exploring social dynamics in online media sharing. WWW Martin Halvey, Mark T. Keane
2007	A	`conf`	Modeling user behavior using a search-engine. IUI Maeve O'Brien, Mark T. Keane
2006	J	`jnl`	A Model of Plausibility. Cogn. Sci. Louise Connell, Mark T. Keane
2006	—	`conf`	Evaluating interfaces for intelligent mobile search. W4A Karen Church, Barry Smyth, Mark T. Keane
2006	J	`jnl`	Mobile web surfing is the same as web surfing. Commun. ACM Martin Halvey, Mark T. Keane, Barry Smyth
2006	A*	`conf`	Predictive modeling of first-click behavior in web-search. WWW Maeve O'Brien, Mark T. Keane, Barry Smyth
2006	J	`jnl`	Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps. New Gener. Comput. Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Keane
2006	—	`conf`	Temporal Rules for Predicting User Navigation in the Mobile Web. AH Martin Halvey, Mark T. Keane, Barry Smyth
2006	A*	`conf`	Temporal rules for mobile web personalization. WWW Martin Halvey, Mark T. Keane, Barry Smyth
2006	A*	`conf`	Time based patterns in mobile-internet surfing. CHI Martin Halvey, Mark T. Keane, Barry Smyth
2005	A*	`conf`	A CLP-Based, Diagnosticity-Driven System for Concept Combinations. IJCAI Georgios Tagalakis, Daniela Ferrari, Mark T. Keane
2005	A	`conf`	An Evaluation of Gisting in Mobile Search. ECIR Karen Church, Mark T. Keane, Barry Smyth
2005	—	`conf`	Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. MLDM Martin Halvey, Mark T. Keane, Barry Smyth
2005	—	`conf`	Geometric Proportional Analogies In Topographic Maps: Theory and Application. SGAI Conf. (Applications) Emma-Claire Mullally, Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Keane
2005	—	`conf`	Predicting navigation patterns on the mobile-internet using time of the week. WWW (Special interest tracks and posters) Martin Halvey, Mark T. Keane, Barry Smyth
2005	J	`jnl`	Remembering What You Forget in an Online Shopping Context. J. Adv. Comput. Intell. Intell. Informatics Martin Halvey, Mark T. Keane
2005	J	`jnl`	Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev. 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, Ian D. Watson
2005	—	`conf`	Time Based Segmentation of Log Data for User Navigation Prediction in Personalization. Web Intelligence Martin Halvey, Mark T. Keane, Barry Smyth
2005	A*	`conf`	Towards More Intelligent Mobile Search. IJCAI Karen Church, Mark T. Keane, Barry Smyth
2004	J	`jnl`	Conceptual Combination with PUNC. Artif. Intell. Rev. Dermot Lynott, Georgios Tagalakis, Mark T. Keane
2004	J	`jnl`	Conceptual Combination with PUNC. Artif. Intell. Rev. Dermot Lynott, Georgios Tagalakis, Mark T. Keane
2004	A	`conf`	Modelling the Interpretation of Novel Compounds. ECAI Dermot Lynott, Mark T. Keane
2004	A	`conf`	Role Swapping in Multi-Agent Sensor Webs. ECAI Rónán Mac Ruairi, Mark T. Keane
2001	—	`ch.`	Dynamic similarity: a processing perspective on similarity. Similarity and Categorization Mark T. Keane, Barry Smyth, Joseph O'Sullivan
2001	J	`jnl`	Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design. IEEE Trans. Knowl. Data Eng. Barry Smyth, Mark T. Keane, Padraig Cunningham
2000	J	`jnl`	Efficient creativity: constraint-guided conceptual combination. Cogn. Sci. Fintan J. Costello, Mark T. Keane
1998	J	`jnl`	Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning. Artif. Intell. Barry Smyth, Mark T. Keane
1997	C	`conf`	The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases. ICCBR Kathleen Hanney, Mark T. Keane
1997	—	`conf`	The Competence of Sub-Optimal Theories of STructure Mapping on Hard Analogies. IJCAI (1) Tony Veale, Mark T. Keane
1996	—	`conf`	Learning Adaptation Rules from a Case-Base. EWCBR Kathleen Hanney, Mark T. Keane
1996	J	`jnl`	Using adaptation knowledge to retrieve and adapt design cases. Knowl. Based Syst. Barry Smyth, Mark T. Keane
1995	—	`ed.`	Advances in Case-Based Reasoning, Second European Workshop, EWCBR-94, Chantilly, France, November 7-10, 1994, Selected Papers EWCBR Jean Paul Haton, Mark T. Keane, Michel Manago
1995	C	`conf`	Experiments On Adaptation-Guided Retrieval In Case-Based Design. ICCBR Barry Smyth, Mark T. Keane
1995	C	`conf`	On the Automatic Generation of Cases Libraries by Chunking Chess Games. ICCBR Stephen Flinter, Mark T. Keane
1995	A*	`conf`	Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. IJCAI Barry Smyth, Mark T. Keane
1995	C	`conf`	Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. ICCBR Kathleen Hanney, Mark T. Keane, Barry Smyth, Padraig Cunningham
1994	J	`jnl`	Constraints on Analogical Mapping: A Comparison of Three Models. Cogn. Sci. Mark T. Keane
1994	J	`jnl`	Effective retrieval in Hospital Information Systems: the use of context in answering queries to Patient Discharge Summaries. Artif. Intell. Medicine Brenda Nangle, Mark T. Keane
1993	—	`conf`	Analogical Asides on Case-Based Reasoning. EWCBR Mark T. Keane
1993	—	`conf`	Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval. EWCBR Barry Smyth, Mark T. Keane
1992	J	`jnl`	Conceptual Scaffolding: A Spatially Founded Meaning Representation for Metaphor Comprehension. Comput. Intell. Tony Veale, Mark T. Keane
1992	A	`conf`	Conceptual Scaffolding: Using Metaphors to Build Knowledge Structures. ECAI Tony Veale, Mark T. Keane
1988	J	`jnl`	Analogical mechanisms. Artif. Intell. Rev. Mark T. Keane
1988	—	`conf`	The Incremental Analogy Machine: A Computational Model of Analogy. EWSL Mark T. Keane, Mike Brayshaw
1988	A	`conf`	Where's the Beef? The Absence of Pragmatic Factors in Pragmatic Theories of Analogy. ECAI Mark T. Keane
1987	—	`conf`	Preliminary Analysis for Design. BCS HCI Mark T. Keane, Peter Johnson