Eoin Delaney
Eoin Delaney
Postdoctoral Researcher, University of Oxford
Vahvistettu sähköpostiosoite verkkotunnuksessa
If only we had better counterfactual explanations: Five key deficits to rectify in the evaluation of counterfactual xai techniques
MT Keane, EM Kenny, E Delaney, B Smyth
30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021
🏆 Instance-based counterfactual explanations for time series classification
E Delaney, D Greene, MT Keane
International conference on case-based reasoning, 32-47, 2021
Uncertainty estimation and out-of-distribution detection for counterfactual explanations: Pitfalls and solutions
E Delaney, D Greene, MT Keane
ICML-21 Workshop on Algorithmic Recourse, 2021
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective
EM Kenny, ED Delaney, D Greene, MT Keane
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
🏆 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, MT Keane
International Conference on Case-Based Reasoning, 365-379, 2022
Twin systems for deepcbr: A menagerie of deep learning and case-based reasoning pairings for explanation and data augmentation
MT Keane, EM Kenny, M Temraz, D Greene, B Smyth
IJCAI-21 Workshop on DL-CBR-AML, 2021
Counterfactual explanations for misclassified images: How human and machine explanations differ
E Delaney, A Pakrashi, D Greene, MT Keane
Artificial Intelligence 324, 103995, 2023
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR abs/2103.01035 (2021)
MT Keane, EM Kenny, E Delaney, B Smyth
arXiv preprint arXiv:2103.01035, 2021
Explaining groups of instances counterfactually for XAI: a use case, algorithm and user study for group-counterfactuals
G Warren, MT Keane, C Gueret, E Delaney
32nd International Conference on Case-Based Reasoning (ICCBR-24), 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting
E Kenny, E Delaney, M Keane
32nd International Joint Conference on Artificial Intelligence (IJCAI-23), 2023
Case-based explanation for black-box time series and image models with applications in smart agriculture
E Delaney
ICCBR Doctoral Consortium 1613, 0073, 2022
User tests & techniques for the post-hoc explanation of deep learning
E Delaney, EM Kenny, D Greene, MT Keane
Explainable Deep Learning AI, 263-291, 2023
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting.
D Wallace, E Delaney, MT Keane, D Greene
AICS, 60-71, 2021
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Artikkelit 1–13