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2025 |
Kai Rawal, Zihao Fu, Eoin Delaney, Chris Russell |
Evaluating Model Explanations without Ground Truth ACM Conference on Fairness, Accountability, and Transparency. DOI: https://doi.org/10.1145/3715275.3732219 |
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2025 |
Fu, Zihao and Brown, Ryan and Shao, Shun and Rawal, Kai and Delaney, Eoin and Russell, Chris |
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models Advances in Neural Information Processing Systems (NeurIPS) |
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2025 |
Harry Mayne, Ryan Othniel Kearns, Yushi Yang, Andrew M Bean, Eoin Delaney, Chris Russell, Adam Mahdi |
LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations Empirical Methods in Natural Language Processing (EMNLP) |
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2024 |
Goethals, Sofie and Delaney, Eoin and Mittelstadt, Brent and Russell, Chris |
Resource-constrained fairness arXiv preprint arXiv:2406.01290 |
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2024 |
Delaney, Eoin and Fu, Zihao and Wachter, Sandra and Mittelstadt, Brent and Russell, Chris |
OxonFair: A Flexible Toolkit for Algorithmic Fairness Advances in Neural Information Processing Systems (NeurIPS) |
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2024 |
Warren, Greta and Delaney, Eoin and Gueret Christophe, and Keane M.T |
Explaining multiple instances counterfactually: User tests of group-counterfactuals for xai International Conference on Case-Based Reasoning ICCBR, pp206--222 |
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2023 |
Delaney, Eoin and Pakrashi, Arjun and Greene, Derek and Keane, Mark T |
Counterfactual explanations for misclassified images: How human and machine explanations differ Artificial Intelligence, 324, pp103995 |
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2023 |
Delaney, Eoin and Kenny, Eoin M and Greene, Derek and Keane, Mark T |
User tests & techniques for the post-hoc explanation of deep learning Explainable Deep Learning AI, pp263--291 |
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2023 |
Kenny, Eoin and Delaney, Eoin and Keane, Mark |
Advancing Post Hoc Case Based Explanation with Feature Highlighting International Joint Conference on Artificial Intelligence (IJCAI-21) |
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2022 |
Delaney, Eoin and Greene, Derek and Shalloo, Laurence and Lynch, Michael and Keane, Mark T |
Forecasting for sustainable dairy produce: enhanced long-term, milk-supply forecasting using k-NN for data augmentation, with prefactual explanations for XAI International Conference on Case-Based Reasoning, pp365--379 |
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2021 |
Wallace, Duncan and Delaney, Eoin and Keane, Mark T and Greene, Derek |
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. Explainable Deep Learning AI, pp60--71 |
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2021 |
Delaney, Eoin and Greene, Derek and Keane, Mark T |
Instance-based counterfactual explanations for time series classification International conference on case-based reasoning, pp32--47 |
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2021 |
Delaney, Eoin and Greene, Derek and Keane, Mark T |
Uncertainty estimation and out-of-distribution detection for counterfactual explanations: Pitfalls and solutions ICML-21 Workshop on Algorithmic Recourse |
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2021 |
Keane, Mark T and Kenny, Eoin M and Delaney, Eoin and Smyth, Barry |
If only we had better counterfactual explanations: Five key deficits to rectify in the evaluation of counterfactual xai techniques IJCAI |
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2021 |
Kenny, Eoin M and Delaney, Eoin D and Greene, Derek and Keane, Mark T |
Post-hoc explanation options for xai in deep learning: The insight centre for data analytics perspective Explainable Deep Learning AI, pp20--34 |
