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ORCIDMark T. Keane
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- affiliation: University College Dublin, Ireland
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2020 – today
- 2024
[j28]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)- [c76]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI 2024: 22696 - [c75]Saugat Aryal, Mark T. Keane:
Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides? ICCBR 2024: 33-49 - [c74]Saugat Aryal, Mark T. Keane:
Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI (short paper). ICCBR Workshops 2024: 40-48 - [c73]Greta Warren, Eoin Delaney, Christophe Guéret, Mark T. Keane:
Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. ICCBR 2024: 206-222 - [i34]Saugat Aryal, Mark T. Keane:
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? CoRR abs/2403.00980 (2024) - 2023
- [j27]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. 324: 103995 (2023) - [c72]Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. IJCAI 2023: 427-435 - [c71]Saugat Aryal, Mark T. Keane:
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. IJCAI 2023: 6526-6535 - [c70]Greta Warren, Ruth M. J. Byrne, Mark T. Keane:
Categorical and Continuous Features in Counterfactual Explanations of AI Systems. IUI 2023: 171-187 - [i33]Saugat Aryal, Mark T. Keane:
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. CoRR abs/2301.11970 (2023) - [i32]Greta Warren, Mark T. Keane, Christophe Guéret, Eoin Delaney:
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. CoRR abs/2303.09297 (2023) - [i31]Susan Leavy, Emilie Pine, Mark T. Keane:
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. CoRR abs/2308.02556 (2023) - [i30]Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post Hoc Case Based Explanation with Feature Highlighting. CoRR abs/2311.03246 (2023) - 2022
- [j26]Lucile Riaboff, Laurence Shalloo, Alan F. Smeaton, Sébastien Couvreur, Aurélien Madouasse, Mark T. Keane:
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data. Comput. Electron. Agric. 192: 106610 (2022) - [c69]Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne:
Counterfactual Explanations for Prediction and Diagnosis in XAI. AIES 2022: 215-226 - [c68]Barry Smyth, Mark T. Keane:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. ICCBR 2022: 18-32 - [c67]Greta Warren, Barry Smyth, Mark T. Keane:
"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). ICCBR 2022: 63-78 - [c66]Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane:
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. ICCBR 2022: 365-379 - [c65]Courtney Ford, Mark T. Keane:
Explaining Classifications to Non-experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise. ICPR Workshops (3) 2022: 246-260 - [c64]Greta Warren, Mark T. Keane, Ruth M. J. Byrne:
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. CAKR@IJCAI 2022 - [e4]Mark T. Keane, Nirmalie Wiratunga:
Case-Based Reasoning Research and Development - 30th International Conference, ICCBR 2022, Nancy, France, September 12-15, 2022, Proceedings. Lecture Notes in Computer Science 13405, Springer 2022, ISBN 978-3-031-14922-1 [contents] - [i29]Greta Warren, Mark T. Keane, Ruth M. J. Byrne:
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI. CoRR abs/2204.10152 (2022) - [i28]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR abs/2212.08733 (2022) - [i27]Courtney Ford, Mark T. Keane:
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise. CoRR abs/2212.09342 (2022) - 2021
- [j25]Eoin M. Kenny, Courtney Ford, Molly S. Quinn, Mark T. Keane:
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) - [j24]Eoin M. Kenny, Mark T. Keane:
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) - [c63]Eoin M. Kenny, Mark T. Keane:
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. AAAI 2021: 11575-11585 - [c62]Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene:
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. AICS 2021: 60-71 - [c61]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:
Explanation in Human Thinking. CogSci 2021 - [c60]Eoin Delaney, Derek Greene, Mark T. Keane:
Instance-Based Counterfactual Explanations for Time Series Classification. ICCBR 2021: 32-47 - [c59]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. ICCBR 2021: 216-231 - [c58]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 - [i26]Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee:
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows. CoRR abs/2101.02188 (2021) - [i25]Barry Smyth, Mark T. Keane:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. CoRR abs/2101.09056 (2021) - [i24]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) - [i23]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) - [i22]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) - [i21]Eoin Delaney, Derek Greene, Mark T. Keane:
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. CoRR abs/2107.09734 (2021) - [i20]Mohammed Temraz, Mark T. Keane:
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation. CoRR abs/2111.03516 (2021) - 2020
- [c57]Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). ICCBR 2020: 163-178 - [c56]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 - [c55]Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane:
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). IJCAI 2020: 4740-4744 - [e3]Edward Curry, Mark T. Keane, Adegboyega Ojo, Dhaval Salwala:
Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Galway, Ireland, December 5-6, 2019. CEUR Workshop Proceedings 2563, CEUR-WS.org 2020 [contents] - [e2]Jer Hayes, Cathal Gurrin, Azzurra Pini, Mark T. Keane:
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. CEUR Workshop Proceedings 2692, CEUR-WS.org 2020 [contents] - [i19]Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). CoRR abs/2005.13997 (2020) - [i18]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) - [i17]Eoin M. Kenny, Mark T. Keane:
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. CoRR abs/2009.06399 (2020) - [i16]Eoin Delaney, Derek Greene, Mark T. Keane:
Instance-Based Counterfactual Explanations for Time Series Classification. CoRR abs/2009.13211 (2020)
2010 – 2019
- 2019
- [j23]Susan Leavy, Mark T. Keane, Emilie Pine:
Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding. Digit. Scholarsh. Humanit. 34(Supplement-1): 110-122 (2019) - [j22]Manish Aggarwal, Madasu Hanmandlu, Mark T. Keane, Kanad K. Biswas:
Intuitionistic Fuzzy Logit Model of Discrete Choice. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 85-89 (2019) - [j21]Edward L. Munnich, Meadhbh I. Foster, Mark T. Keane:
Editors' Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together. Top. Cogn. Sci. 11(1): 37-49 (2019) - [j20]Meadhbh I. Foster, Mark T. Keane:
The Role of Surprise in Learning: Different Surprising Outcomes Affect Memorability Differentially. Top. Cogn. Sci. 11(1): 75-87 (2019) - [j19]Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane:
Seeing Patterns in Randomness: A Computational Model of Surprise. Top. Cogn. Sci. 11(1): 103-118 (2019) - [c54]Molly S. Quinn, Katherine Campbell, Mark T. Keane:
The Expected Unexpected & Unexpected Unexpected. CogSci 2019: 2627-2633 - [c53]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 - [c52]Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mark T. Keane:
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 - [c51]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 - [i15]Conor Kelleher, Mark T. Keane:
Plotting Markson's 'Mistress'. CoRR abs/1905.07185 (2019) - [i14]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) - [i13]Molly S. Quinn, Kathleen Campbell, Mark T. Keane:
The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected. CoRR abs/1905.08063 (2019) - [i12]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) - 2018
- [j18]Claudia Orellana-Rodriguez, Mark T. Keane:
Attention to news and its dissemination on Twitter: A survey. Comput. Sci. Rev. 29: 74-94 (2018) - [c50]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:
[Poster] Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others. ISMAR Adjunct 2018: 236-241 - [c49]Susan Leavy, Emilie Pine, Mark T. Keane:
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. ECML/PKDD (3) 2018: 687-690 - [c48]Claudia Orellana-Rodriguez, Mark T. Keane:
Modeling and Predicting News Consumption on Twitter. UMAP 2018: 321-329 - 2017
- [j17]Claudia Orellana-Rodriguez, Derek Greene, Mark T. Keane:
Spreading One's Tweets: How Can Journalists Gain Attention for their Tweeted News? J. Web Sci. 3(2): 16-31 (2017) - [c47]Susan Leavy, Emilie Pine, Mark T. Keane:
Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. DH 2017 - [c46]Maryanne Doyle, Mark T. Keane:
LOOM: Showing the Dynamics of Power Laws in Twitter Data. IV 2017: 140-145 - [c45]Conor Kelleher, Mark T. Keane:
Plotting Markson's "Mistress". LaTeCH@ACL 2017: 33-39 - [c44]Johanna Barbier, Patricia Kenny, Jordan Young, Jean-Marie Normand, Mark T. Keane, Muiris O'Sullivan, Anthony Ventresque:
MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art. VSMM 2017: 1-8 - [i11]Terrence Szymanski, Claudia Orellana-Rodriguez, Mark T. Keane:
Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines. CoRR abs/1705.09656 (2017) - [i10]Georgiana Ifrim, Derek Greene, Mark T. Keane, Claudia Orellana-Rodriguez, Bichen Shi, Gevorg Poghosyan:
On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools. CoRR abs/1710.05212 (2017) - 2016
- [c43]Claudia Orellana-Rodriguez, Derek Greene, Mark T. Keane:
Spreading the news: how can journalists gain more engagement for their tweets? WebSci 2016: 107-116 - 2015
- [c42]Éva Székely, Mark T. Keane, Julie Carson-Berndsen:
The effect of soft, modal and loud voice levels on entrainment in noisy conditions. INTERSPEECH 2015: 150-154 - 2014
- [c41]Meadhbh Foster, Mark T. Keane, Jeffrey Loewenstein, Phil Maguire, Rebecca Maguire, Ross May, Martin Smith-Rodden, Ivan K. Ash, Edward Munnich, Michael Andrew Ranney:
Triangulating Surprise: Expectations, Uncertainty, and Making Sense. CogSci 2014 - [i9]Mark T. Keane, Aaron Gerow:
It's distributions all the way down!: Second order changes in statistical distributions also occur. CoRR abs/1402.6880 (2014) - [i8]Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane:
A Computational Theory of Subjective Probability. CoRR abs/1405.6142 (2014) - 2013
- [c40]Meadhbh Foster, Mark T. Keane:
Surprise! You've Got Some Explaining to Do. CogSci 2013 - [c39]Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane:
A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy]. CogSci 2013 - [c38]Stephanie O'Toole, Mark T. Keane:
Cognitive Residues of Similarity: After-Effects of Similarity Computations in Visual Search. CogSci 2013 - [i7]Mark T. Keane:
Deconstructing analogy. CoRR abs/1308.2119 (2013) - [i6]Petra Ahrweiler, Mark T. Keane:
Innovation networks. CoRR abs/1308.2234 (2013) - [i5]Meadhbh Foster, Mark T. Keane:
Surprise: Youve got some explaining to do. CoRR abs/1308.2236 (2013) - [i4]Stephanie O'Toole, Mark T. Keane:
Cognitive residues of similarity. CoRR abs/1308.2240 (2013) - 2012
- [c37]Martin Sälzle, Mark T. Keane:
Inferring Metaphoric Structure from Financial Articles Using Bayesian Sparse Models. CogSci 2012 - [c36]Diarmuid P. O'Donoghue, Mark T. Keane:
A Creative Analogy Machine: Results and Challenges. ICCC 2012: 17-24 - [i3]Aaron Gerow, Mark T. Keane:
Mining the Web for the Voice of the Herd to Track Stock Market Bubbles. CoRR abs/1212.2676 (2012) - [i2]Aaron Gerow, Mark T. Keane:
Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles. CoRR abs/1212.3138 (2012) - [i1]Aaron Gerow, Mark T. Keane:
Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles. CoRR abs/1212.3139 (2012) - 2011
- [c35]Aaron Gerow, Mark T. Keane:
Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles. CogSci 2011 - [c34]Aaron Gerow, Mark T. Keane:
Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles. CogSci 2011 - [c33]Aaron Gerow, Mark T. Keane:
Mining the Web for the "Voice of the Herd" to Track Stock Market Bubbles. IJCAI 2011: 2244-2249
2000 – 2009
- 2008
- [j16]Mark T. Keane, Maeve O'Brien, Barry Smyth:
Are people biased in their use of search engines? Commun. ACM 51(2): 49-52 (2008) - 2007
- [c32]Martin Halvey, Mark T. Keane:
Analysis of online video search and sharing. Hypertext 2007: 217-226 - [c31]Rónán Mac Ruairi, Mark T. Keane:
An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events. IJCAI 2007: 1390-1395 - [c30]Maeve O'Brien, Mark T. Keane:
Modeling user behavior using a search-engine. IUI 2007: 357-360 - [c29]Martin Halvey, Mark T. Keane:
Exploring social dynamics in online media sharing. WWW 2007: 1273-1274 - [c28]Martin Halvey, Mark T. Keane:
An assessment of tag presentation techniques. WWW 2007: 1313-1314 - 2006
- [j15]Martin Halvey, Mark T. Keane, Barry Smyth:
Mobile web surfing is the same as web surfing. Commun. ACM 49(3): 76-81 (2006) - [j14]Louise Connell, Mark T. Keane:
A Model of Plausibility. Cogn. Sci. 30(1): 95-120 (2006) - [j13]Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Keane:
Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps. New Gener. Comput. 24(3): 267-288 (2006) - [c27]Martin Halvey, Mark T. Keane, Barry Smyth:
Temporal Rules for Predicting User Navigation in the Mobile Web. AH 2006: 111-120 - [c26]Martin Halvey, Mark T. Keane, Barry Smyth:
Time based patterns in mobile-internet surfing. CHI 2006: 31-34 - [c25]Karen Church, Barry Smyth, Mark T. Keane:
Evaluating interfaces for intelligent mobile search. W4A 2006: 69-78 - [c24]Martin Halvey, Mark T. Keane, Barry Smyth:
Temporal rules for mobile web personalization. WWW 2006: 839-840 - [c23]Maeve O'Brien, Mark T. Keane, Barry Smyth:
Predictive modeling of first-click behavior in web-search. WWW 2006: 1031-1032 - 2005
- [j12]Martin Halvey, Mark T. Keane:
Remembering What You Forget in an Online Shopping Context. J. Adv. Comput. Intell. Intell. Informatics 9(1): 18-22 (2005) - [j11]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:
Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev. 20(3): 215-240 (2005) - [c22]Karen Church, Mark T. Keane, Barry Smyth:
An Evaluation of Gisting in Mobile Search. ECIR 2005: 546-548 - [c21]Georgios Tagalakis, Daniela Ferrari, Mark T. Keane:
A CLP-Based, Diagnosticity-Driven System for Concept Combinations. IJCAI 2005: 1585-1586 - [c20]Karen Church, Mark T. Keane, Barry Smyth:
Towards More Intelligent Mobile Search. IJCAI 2005: 1675-1676 - [c19]Martin Halvey, Mark T. Keane, Barry Smyth:
Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. MLDM 2005: 174-183 - [c18]Emma-Claire Mullally, Diarmuid P. O'Donoghue, Amy J. Bohan, Mark T. Keane:
Geometric Proportional Analogies In Topographic Maps: Theory and Application. SGAI Conf. (Applications) 2005: 95-108 - [c17]Martin Halvey, Mark T. Keane, Barry Smyth:
Time Based Segmentation of Log Data for User Navigation Prediction in Personalization. Web Intelligence 2005: 636-640 - [c16]Martin Halvey, Mark T. Keane, Barry Smyth:
Predicting navigation patterns on the mobile-internet using time of the week. WWW (Special interest tracks and posters) 2005: 958-959 - 2004
- [j10]Dermot Lynott, Georgios Tagalakis, Mark T. Keane:
Conceptual Combination with PUNC. Artif. Intell. Rev. 21(3-4): 353-374 (2004) - [j9]Dermot Lynott, Georgios Tagalakis, Mark T. Keane:
Conceptual Combination with PUNC. Artif. Intell. Rev. 22(3): 247-267 (2004) - [c15]Dermot Lynott, Mark T. Keane:
Modelling the Interpretation of Novel Compounds. ECAI 2004: 1053-1054 - [c14]Rónán Mac Ruairi, Mark T. Keane:
Role Swapping in Multi-Agent Sensor Webs. ECAI 2004: 1055-1056 - 2001
- [j8]Barry Smyth, Mark T. Keane, Padraig Cunningham:
Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design. IEEE Trans. Knowl. Data Eng. 13(5): 793-812 (2001) - [p1]Mark T. Keane, Barry Smyth, Joseph O'Sullivan:
Dynamic similarity: a processing perspective on similarity. Similarity and Categorization 2001 - 2000
- [j7]Fintan J. Costello, Mark T. Keane:
Efficient creativity: constraint-guided conceptual combination. Cogn. Sci. 24(2): 299-349 (2000)
1990 – 1999
- 1998
- [j6]Barry Smyth, Mark T. Keane:
Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning. Artif. Intell. 102(2): 249-293 (1998) - 1997
- [c13]Kathleen Hanney, Mark T. Keane:
The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases. ICCBR 1997: 359-370 - [c12]Tony Veale, Mark T. Keane:
The Competence of Sub-Optimal Theories of STructure Mapping on Hard Analogies. IJCAI (1) 1997: 232-237 - 1996
- [j5]Barry Smyth, Mark T. Keane:
Using adaptation knowledge to retrieve and adapt design cases. Knowl. Based Syst. 9(2): 127-135 (1996) - [c11]Kathleen Hanney, Mark T. Keane:
Learning Adaptation Rules from a Case-Base. EWCBR 1996: 179-192 - 1995
- [c10]Barry Smyth, Mark T. Keane:
Experiments On Adaptation-Guided Retrieval In Case-Based Design. ICCBR 1995: 313-324 - [c9]Stephen Flinter, Mark T. Keane:
On the Automatic Generation of Cases Libraries by Chunking Chess Games. ICCBR 1995: 421-430 - [c8]Kathleen Hanney, Mark T. Keane, Barry Smyth, Padraig Cunningham:
Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. ICCBR 1995: 461-470 - [c7]Barry Smyth, Mark T. Keane:
Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. IJCAI 1995: 377-383 - [e1]Jean Paul Haton, Mark T. Keane, Michel Manago:
Advances in Case-Based Reasoning, Second European Workshop, EWCBR-94, Chantilly, France, November 7-10, 1994, Selected Papers. Lecture Notes in Computer Science 984, Springer 1995, ISBN 3-540-60364-6 [contents] - 1994
- [j4]Brenda Nangle, Mark T. Keane:
Effective retrieval in Hospital Information Systems: the use of context in answering queries to Patient Discharge Summaries. Artif. Intell. Medicine 6(3): 207-227 (1994) - [j3]Mark T. Keane:
Constraints on Analogical Mapping: A Comparison of Three Models. Cogn. Sci. 18(3): 387-438 (1994) - 1993
- [c6]Mark T. Keane:
Analogical Asides on Case-Based Reasoning. EWCBR 1993: 21-32 - [c5]Barry Smyth, Mark T. Keane:
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval. EWCBR 1993: 209-220 - 1992
- [j2]Tony Veale, Mark T. Keane:
Conceptual Scaffolding: A Spatially Founded Meaning Representation for Metaphor Comprehension. Comput. Intell. 8: 494-519 (1992) - [c4]Tony Veale, Mark T. Keane:
Conceptual Scaffolding: Using Metaphors to Build Knowledge Structures. ECAI 1992: 174-178
1980 – 1989
- 1988
- [j1]Mark T. Keane:
Analogical mechanisms. Artif. Intell. Rev. 2(4): 229-251 (1988) - [c3]Mark T. Keane:
Where's the Beef? The Absence of Pragmatic Factors in Pragmatic Theories of Analogy. ECAI 1988: 327-332 - [c2]Mark T. Keane, Mike Brayshaw:
The Incremental Analogy Machine: A Computational Model of Analogy. EWSL 1988: 53-62 - 1987
- [c1]Mark T. Keane, Peter Johnson:
Preliminary Analysis for Design. BCS HCI 1987: 133-146
Coauthor Index
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