Mark T Keane
University College Dublin
H-index: 58
Europe-Ireland
Top articles of Mark T Keane
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? | Saugat Aryal Mark T Keane | 2024/7 | |
A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction | Computers and Electronics in Agriculture | Eoin M Kenny Elodie Ruelle Mark T Keane Laurence Shalloo | 2024/7 |
Counterfactual Explanations for Misclassified Images | Proceedings of the AAAI Conference on Artificial Intelligence | Eoin Delaney Arjun Pakrashi Derek Greene Mark T Keane | 2024/3/24 |
Semi-Factual Explanations in AI | Proceedings of the AAAI Conference on Artificial Intelligence | Saugat Aryal | 2024/3/24 |
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting | Eoin M Kenny E. Delaney Mark T Keane | 2023/8 | |
'Even if' Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI | Saugat. Aryal Mark T. Keane | 2023/8 | |
Explaining Classifications to Non-Experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise | In: Rousseau, J-J. & Kapralos, B. (eds) Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. Lecture Notes in Computer Science | Courtney Ford Mark T. Keane | 2023/8 |
Early Detection of Subclinical Mastitis in Lactating Dairy Cows Using Cow Level Features | Journal of Dairy Science | Arjun Pakrashi Cathal Ryan Christophe Gueret Donagh Berry Medb Corcoran | 2023/7 |
Categorical and Continuous Features in Counterfactual Explanations of AI Systems | Greta Warren Ruth M J Byrne Mark T Keane | 2023/3 | |
Counterfactual Explanations for Prediction and Diagnosis in XAI | Xinyue Dai Mark T Keane Laurence Shalloo Elodie Ruelle Ruth MJ Byrne | 2022/7/26 | |
People’s Reports of Unexpected Events for Everyday Scenarios: Over 1000 Textual Responses, Human-Labelled for Valence/Sentiment, Controllability and Topic Category | Data in Brief | Molly S. Quinn Courtney Ford Mark T. Keane | 2022/10 |
User Tests & Techniques for the Post-Hoc Explanation of Deep Learning | Eoin Delaney Eoin Kenny Derek Greene Mark T Keane | 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 | 2022/8/14 | |
Predicting Livestock Behaviour Using Accelerometers: A Systematic Review of Processing Techniques for Ruminant Behaviour Prediction From Raw Accelerometer Data. | Computers and Electronics in Agriculture | L. Riaboff L. Shalloo A.F. Smeaton S. Couvreur A. Madouasse | 2022/1 |
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations | Barry Smyth Mark T Keane | 2022/8/14 | |
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation | Machine Learning with Applications | Mohammed Temraz Mark T Keane | 2022 |
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI | ???? 30th International Conference on Case Based Reasoning (ICCBR-22) | Eoin Delaney Eoin Kenny Derek Greene Laurence Shalloo M. Lynch | 2022/8 |
Factors Affecting “Expectations of the Unexpected”: The Impact of Controllability & Valence on Unexpected Outcomes | Cognition | Molly S. Quinn Mark T. Keane | 2022/8 |
Explanations in Human Thinking | J Cassens R Wegener L Habenicht L Blohm J Korman | 2021/8 | |
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 | 2021 |
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