[HTML][HTML] Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies

EM Kenny, C Ford, M Quinn, MT Keane - Artificial Intelligence, 2021 - Elsevier
In this paper, we describe a post-hoc explanation-by-example approach to eXplainable AI
(XAI), where a black-box, deep learning system is explained by reference to a more …

[HTML][HTML] Explainable Artificial Intelligence-Based Decision Support Systems: A Recent Review

G Kostopoulos, G Davrazos, S Kotsiantis - Electronics, 2024 - mdpi.com
This survey article provides a comprehensive overview of the evolving landscape of
Explainable Artificial Intelligence (XAI) in Decision Support Systems (DSSs). As Artificial …

On generating plausible counterfactual and semi-factual explanations for deep learning

EM Kenny, MT Keane - Proceedings of the AAAI Conference on …, 2021 - ojs.aaai.org
There is a growing concern that the recent progress made in AI, especially regarding the
predictive competence of deep learning models, will be undermined by a failure to properly …

Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective

EM Kenny, ED Delaney, D Greene… - Pattern Recognition. ICPR …, 2021 - Springer
This paper profiles the recent research work on eXplainable AI (XAI), at the Insight Centre for
Data Analytics. This work concentrates on post-hoc explanation-by-example solutions to XAI …

Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI

E Delaney, D Greene, L Shalloo, M Lynch… - … Conference on Case …, 2022 - Springer
Accurate milk supply forecasting for the dairy sector, covering 1000 s of farms with low
resolution data, is a key challenge in achieving a sustainable, precision agriculture that can …

Decision Support System for Smart Agriculture in Predictive Analysis

N Ulloa, R Sharmila, E Brindha… - Predictive Analytics in … - taylorfrancis.com
Farmers in different parts of the world will feel the effects of global warming and the resulting
rise in weather volatility in different ways. There is a growing need for a unified data platform …