Eoin Delaney

Orcid: 0000-0002-7282-8494

According to our database1, Eoin Delaney authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness.
CoRR, 2024

Resource-constrained Fairness.
CoRR, 2024

Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI.
Proceedings of the Case-Based Reasoning Research and Development, 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

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

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

Case-based Explanations for Black-Box Time Series and Image Models with Applications in Smart Agriculture.
Proceedings of the Doctoral Consortium Proceedings of the 30th International Conference on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

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

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

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

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


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