Mark T. Keane

Orcid: 0000-0001-7630-9598

Affiliations:
  • University College Dublin, Ireland


According to our database1, Mark T. Keane authored at least 118 papers between 1987 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
CoRR, 2024

Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Counterfactual explanations for misclassified images: How human and machine explanations differ.
Artif. Intell., November, 2023

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals.
CoRR, 2023

Categorical and Continuous Features in Counterfactual Explanations of AI Systems.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Advancing Post-Hoc Case-Based Explanation with Feature Highlighting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data.
Comput. Electron. Agric., 2022

Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI.
Proceedings of the Workshop on Cognitive Aspects of Knowledge Representation co-located with the 31st international join conference on artificial intelligence (IJCAI-ECAI 2022), 2022

Explaining Classifications to Non-experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).
Proceedings of the Case-Based Reasoning Research and Development, 2022

A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Counterfactual Explanations for Prediction and Diagnosis in XAI.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI.
Knowl. Based Syst., 2021

Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation.
CoRR, 2021

Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions.
CoRR, 2021

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation.
CoRR, 2021

Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows.
CoRR, 2021

Explaining black-box classifiers using <i>post-hoc</i> explanations-by-example: The effect of explanations and error-rates in XAI user studies.
Artif. Intell., 2021

If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.
Proceedings of the Case-Based Reasoning Research and Development, 2021

Instance-Based Counterfactual Explanations for Time Series Classification.
Proceedings of the Case-Based Reasoning Research and Development, 2021

Explanation in Human Thinking.
Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Nearest Neighbour-Based Data Augmentation for Time Series Forecasting.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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.
CoRR, 2020

Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI).
Proceedings of the Case-Based Reasoning Research and Development, 2020

2019
Editors' Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together.
Top. Cogn. Sci., 2019

Seeing Patterns in Randomness: A Computational Model of Surprise.
Top. Cogn. Sci., 2019

The Role of Surprise in Learning: Different Surprising Outcomes Affect Memorability Differentially.
Top. Cogn. Sci., 2019

Intuitionistic Fuzzy Logit Model of Discrete Choice.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Patterns in language: Text analysis of government reports on the Irish industrial school system with word embedding.
Digit. Scholarsh. Humanit., 2019

The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning.
CoRR, 2019

The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected.
CoRR, 2019

How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins.
CoRR, 2019

Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI).
Proceedings of the Case-Based Reasoning Research and Development, 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.
Proceedings of the Case-Based Reasoning Research and Development, 2019

The Expected Unexpected & Unexpected Unexpected.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Attention to news and its dissemination on Twitter: A survey.
Comput. Sci. Rev., 2018

Modeling and Predicting News Consumption on Twitter.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

[Poster] Using an Industry-Ready AR HMD on a Real Maintenance Task: AR Benefits Performance on Certain Task Steps More Than Others.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018

2017
Spreading One's Tweets: How Can Journalists Gain Attention for their Tweeted News?
J. Web Sci., 2017

On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools.
CoRR, 2017

Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines.
CoRR, 2017

MAAP Annotate: When archaeology meets augmented reality for annotation of megalithic art.
Proceedings of the 23rd International Conference on Virtual System & Multimedia, 2017

Plotting Markson's "Mistress".
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2017

LOOM: Showing the Dynamics of Power Laws in Twitter Data.
Proceedings of the 21st International Conference Information Visualisation, 2017

Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

2016
Spreading the news: how can journalists gain more engagement for their tweets?
Proceedings of the 8th ACM Conference on Web Science, 2016

2015
The effect of soft, modal and loud voice levels on entrainment in noisy conditions.
Proceedings of the INTERSPEECH 2015, 2015

2014
A Computational Theory of Subjective Probability.
CoRR, 2014

It's distributions all the way down!: Second order changes in statistical distributions also occur.
CoRR, 2014

Triangulating Surprise: Expectations, Uncertainty, and Making Sense.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Cognitive residues of similarity.
CoRR, 2013

Deconstructing analogy.
CoRR, 2013

Surprise: Youve got some explaining to do.
CoRR, 2013

Innovation networks.
CoRR, 2013

Cognitive Residues of Similarity: After-Effects of Similarity Computations in Visual Search.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy].
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Surprise! You've Got Some Explaining to Do.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
A Creative Analogy Machine: Results and Challenges.
Proceedings of the Third International Conference on Computational Creativity, 2012

Inferring Metaphoric Structure from Financial Articles Using Bayesian Sparse Models.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Mining the Web for the "Voice of the Herd" to Track Stock Market Bubbles.
Proceedings of the IJCAI 2011, 2011

Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Identifying Metaphor Hierarchies in a Corpus Analysis of Finance Articles.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2008
Are people biased in their use of search engines?
Commun. ACM, 2008

2007
An assessment of tag presentation techniques.
Proceedings of the 16th International Conference on World Wide Web, 2007

Exploring social dynamics in online media sharing.
Proceedings of the 16th International Conference on World Wide Web, 2007

Modeling user behavior using a search-engine.
Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007

An Energy-Efficient, Multi-Agent Sensor Network for Detecting Diffuse Events.
Proceedings of the IJCAI 2007, 2007

Analysis of online video search and sharing.
Proceedings of the HYPERTEXT 2007, 2007

2006
Seeing Things: Inventive Reasoning with Geometric Analogies and Topographic Maps.
New Gener. Comput., 2006

A Model of Plausibility.
Cogn. Sci., 2006

Mobile web surfing is the same as web surfing.
Commun. ACM, 2006

Predictive modeling of first-click behavior in web-search.
Proceedings of the 15th international conference on World Wide Web, 2006

Temporal rules for mobile web personalization.
Proceedings of the 15th international conference on World Wide Web, 2006

Evaluating interfaces for intelligent mobile search.
Proceedings of the 2006 International Cross-Disciplinary Workshop on Web Accessibility (W4A 2006): Building the mobile web: rediscovering accessibility? Edinburgh, 2006

Time based patterns in mobile-internet surfing.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

Temporal Rules for Predicting User Navigation in the Mobile Web.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2006

2005
Retrieval, reuse, revision and retention in case-based reasoning.
Knowl. Eng. Rev., 2005

Remembering What You Forget in an Online Shopping Context.
J. Adv. Comput. Intell. Intell. Informatics, 2005

Predicting navigation patterns on the mobile-internet using time of the week.
Proceedings of the 14th international conference on World Wide Web, 2005

Time Based Segmentation of Log Data for User Navigation Prediction in Personalization.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Geometric Proportional Analogies In Topographic Maps: Theory and Application.
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A CLP-Based, Diagnosticity-Driven System for Concept Combinations.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Towards More Intelligent Mobile Search.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

An Evaluation of Gisting in Mobile Search.
Proceedings of the Advances in Information Retrieval, 2005

2004
Conceptual Combination with PUNC.
Artif. Intell. Rev., 2004

Role Swapping in Multi-Agent Sensor Webs.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Modelling the Interpretation of Novel Compounds.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2001
Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design.
IEEE Trans. Knowl. Data Eng., 2001

Dynamic similarity: a processing perspective on similarity.
Proceedings of the Similarity and Categorization., 2001

2000
Efficient creativity: constraint-guided conceptual combination.
Cogn. Sci., 2000

1998
Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning.
Artif. Intell., 1998

1997
The Competence of Sub-Optimal Theories of STructure Mapping on Hard Analogies.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases.
Proceedings of the Case-Based Reasoning Research and Development, 1997

1996
Using adaptation knowledge to retrieve and adapt design cases.
Knowl. Based Syst., 1996

Learning Adaptation Rules from a Case-Base.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996

1995
Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Experiments On Adaptation-Guided Retrieval In Case-Based Design.
Proceedings of the Case-Based Reasoning Research and Development, 1995

Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies.
Proceedings of the Case-Based Reasoning Research and Development, 1995

On the Automatic Generation of Cases Libraries by Chunking Chess Games.
Proceedings of the Case-Based Reasoning Research and Development, 1995

1994
Constraints on Analogical Mapping: A Comparison of Three Models.
Cogn. Sci., 1994

Effective retrieval in Hospital Information Systems: the use of context in answering queries to Patient Discharge Summaries.
Artif. Intell. Medicine, 1994

1993
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval.
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

Analogical Asides on Case-Based Reasoning.
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

1992
Conceptual Scaffolding: A Spatially Founded Meaning Representation for Metaphor Comprehension.
Comput. Intell., 1992

Conceptual Scaffolding: Using Metaphors to Build Knowledge Structures.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1988
Analogical mechanisms.
Artif. Intell. Rev., 1988

The Incremental Analogy Machine: A Computational Model of Analogy.
Proceedings of the Third European Working Session on Learning, 1988

Where's the Beef? The Absence of Pragmatic Factors in Pragmatic Theories of Analogy.
Proceedings of the 8th European Conference on Artificial Intelligence, 1988

1987
Preliminary Analysis for Design.
Proceedings of the People and Computers III, 1987


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