Mark T. Keane

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 71

Top Venues

Publications

Greta Warren, Eoin Delaney, Christophe Guéret, Mark T. Keane
Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. ICCBR (2024)
Saugat Aryal, Mark T. Keane
Testing Most Distant Neighbor (MDN) Variants for Semi-Factual Explanations in XAI (short paper). ICCBR Workshops (2024)
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 (2024)
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI (2024)
Saugat Aryal, Mark T. Keane
Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides? ICCBR (2024)
Saugat Aryal, Mark T. Keane
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? CoRR (2024)
Susan Leavy, Emilie Pine, Mark T. Keane
Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning. CoRR (2023)
Saugat Aryal, Mark T. Keane
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. IJCAI (2023)
Eoin M. Kenny, Eoin Delaney, Mark T. Keane
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. IJCAI (2023)
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
Categorical and Continuous Features in Counterfactual Explanations of AI Systems. IUI (2023)
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 (2023)
Saugat Aryal, Mark T. Keane
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI. CoRR (2023)
Eoin M. Kenny, Eoin Delaney, Mark T. Keane
Advancing Post Hoc Case Based Explanation with Feature Highlighting. CoRR (2023)
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. 324 (2023)
Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne
Counterfactual Explanations for Prediction and Diagnosis in XAI. AIES (2022)
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 (2022)
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)
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)
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)
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 (2022)
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 (2022)
Barry Smyth, Mark T. Keane
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. ICCBR (2022)
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)
Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR (2022)
Eoin Delaney, Derek Greene, Mark T. Keane
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. CoRR (2021)
Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. AICS (2021)
Mohammed Temraz, Mark T. Keane
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation. CoRR (2021)
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 (2021)
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)
Eoin M. Kenny, Mark T. Keane
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. AAAI (2021)
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 (2021)
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)
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 (2021)
Eoin M. Kenny, Courtney Ford, Molly S. Quinn, Mark T. Keane
explanations-by-example: The effect of explanations and error-rates in XAI user studies. Artif. Intell. 294 (2021)
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 (2021)
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)
Eoin Delaney, Derek Greene, Mark T. Keane
Instance-Based Counterfactual Explanations for Time Series Classification. ICCBR (2021)
Barry Smyth, Mark T. Keane
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. CoRR (2021)
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 (2021)
Mark T. Keane, Barry Smyth
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). CoRR (2020)
Eoin M. Kenny, Mark T. Keane
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. CoRR (2020)
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)
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)
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 (2020)
Eoin Delaney, Derek Greene, Mark T. Keane
Instance-Based Counterfactual Explanations for Time Series Classification. CoRR (2020)
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)
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) (2019)
Molly S. Quinn, Katherine Campbell, Mark T. Keane
The Expected Unexpected & Unexpected Unexpected. CogSci (2019)
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 (2019)
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)
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)
Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane
Seeing Patterns in Randomness: A Computational Model of Surprise. Top. Cogn. Sci. 11 (1) (2019)
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 (2019)
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)
Meadhbh I. Foster, Mark T. Keane
The Role of Surprise in Learning: Different Surprising Outcomes Affect Memorability Differentially. Top. Cogn. Sci. 11 (1) (2019)
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) (2019)
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) (2019)
Conor Kelleher, Mark T. Keane
Plotting Markson's 'Mistress'. CoRR (2019)
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 (2019)
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)
Claudia Orellana-Rodriguez, Mark T. Keane
Modeling and Predicting News Consumption on Twitter. UMAP (2018)
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)
Claudia Orellana-Rodriguez, Mark T. Keane
Attention to news and its dissemination on Twitter: A survey. Comput. Sci. Rev. 29 (2018)
Susan Leavy, Emilie Pine, Mark T. Keane
Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. DH (2017)
Conor Kelleher, Mark T. Keane
Plotting Markson's "Mistress". LaTeCH@ACL (2017)
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)
Maryanne Doyle, Mark T. Keane
LOOM: Showing the Dynamics of Power Laws in Twitter Data. IV (2017)
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) (2017)
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 (2017)
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 (2017)
Claudia Orellana-Rodriguez, Derek Greene, Mark T. Keane
Spreading the news: how can journalists gain more engagement for their tweets? WebSci (2016)
Éva Székely, Mark T. Keane, Julie Carson-Berndsen
The effect of soft, modal and loud voice levels on entrainment in noisy conditions. INTERSPEECH (2015)
Phil Maguire, Philippe Moser, Rebecca Maguire, Mark T. Keane
A Computational Theory of Subjective Probability. CoRR (2014)
Mark T. Keane, Aaron Gerow
It's distributions all the way down!: Second order changes in statistical distributions also occur. CoRR (2014)
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)
Stephanie O'Toole, Mark T. Keane
Cognitive residues of similarity. CoRR (2013)
Stephanie O'Toole, Mark T. Keane
Cognitive Residues of Similarity: After-Effects of Similarity Computations in Visual Search. CogSci (2013)
Petra Ahrweiler, Mark T. Keane
Innovation networks. CoRR (2013)
Mark T. Keane
Deconstructing analogy. CoRR (2013)
Meadhbh Foster, Mark T. Keane
Surprise: Youve got some explaining to do. CoRR (2013)
Meadhbh Foster, Mark T. Keane
Surprise! You've Got Some Explaining to Do. CogSci (2013)
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)
Martin Sälzle, Mark T. Keane
Inferring Metaphoric Structure from Financial Articles Using Bayesian Sparse Models. CogSci (2012)
Diarmuid P. O'Donoghue, Mark T. Keane
A Creative Analogy Machine: Results and Challenges. ICCC (2012)
Aaron Gerow, Mark T. Keane
Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles CoRR (2012)
Aaron Gerow, Mark T. Keane
Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles CoRR (2012)
Aaron Gerow, Mark T. Keane
Mining the Web for the Voice of the Herd to Track Stock Market Bubbles CoRR (2012)
Aaron Gerow, Mark T. Keane
Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles. CogSci (2011)
Aaron Gerow, Mark T. Keane
Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles. CogSci (2011)
Aaron Gerow, Mark T. Keane
Mining the Web for the "Voice of the Herd" to Track Stock Market Bubbles. IJCAI (2011)
Mark T. Keane, Maeve O'Brien, Barry Smyth
Are people biased in their use of search engines? Commun. ACM 51 (2) (2008)
Martin Halvey, Mark T. Keane
Exploring social dynamics in online media sharing. WWW (2007)
Martin Halvey, Mark T. Keane
Analysis of online video search and sharing. Hypertext (2007)
Maeve O'Brien, Mark T. Keane
Modeling user behavior using a search-engine. IUI (2007)
Martin Halvey, Mark T. Keane
An assessment of tag presentation techniques. WWW (2007)
Rónán Mac Ruairi, Mark T. Keane
An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events. IJCAI (2007)
Martin Halvey, Mark T. Keane, Barry Smyth
Temporal Rules for Predicting User Navigation in the Mobile Web. AH (2006)
Karen Church, Barry Smyth, Mark T. Keane
Evaluating interfaces for intelligent mobile search. W4A (2006)
Martin Halvey, Mark T. Keane, Barry Smyth
Time based patterns in mobile-internet surfing. CHI (2006)
Martin Halvey, Mark T. Keane, Barry Smyth
Temporal rules for mobile web personalization. WWW (2006)

Mark T. Keane.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mark T. Keane