| 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 | 171 | 2021 |
| 🏆 Instance-based counterfactual explanations for time series classification E Delaney, D Greene, MT Keane International conference on case-based reasoning, 32-47, 2021 | 118 | 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 | 21 | 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 | 21 | 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 | 10 | 2023 |
| 🏆 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 | 8 | 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 | 8 | 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 | 7 | 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 | 4* | 2023 |
| Case-based Explanations for Black-Box Time Series and Image Models with Applications in Smart Agriculture. E Delaney ICCBR Doctoral Consortium 1613, 0073, 2022 | 3 | 2022 |
| Resource-constrained Fairness S Goethals, E Delaney, B Mittelstadt, C Russell arXiv preprint arXiv:2406.01290, 2024 | 2 | 2024 |
| OxonFair: A Flexible Toolkit for Algorithmic Fairness E Delaney, Z Fu, S Wachter, B Mittelstadt, C Russell arXiv preprint arXiv:2407.13710, 2024 | | 2024 |
| 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 | | 2023 |
| Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. D Wallace, E Delaney, MT Keane, D Greene AICS, 60-71, 2021 | | 2021 |
