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ORCIDEoin Delaney
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2020 – today
- 2024
[c9]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI 2024: 22696- [c8]Greta Warren, Eoin Delaney, Christophe Guéret, Mark T. Keane:
Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. ICCBR 2024: 206-222 - [i8]Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell:
Resource-constrained Fairness. CoRR abs/2406.01290 (2024) - [i7]Eoin Delaney, Zihao Fu, Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
OxonFair: A Flexible Toolkit for Algorithmic Fairness. CoRR abs/2407.13710 (2024) - 2023
- [j1]Eoin Delaney
, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. 324: 103995 (2023) - [c7]Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. IJCAI 2023: 427-435 - [i6]Greta Warren, Mark T. Keane, Christophe Guéret, Eoin Delaney:
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. CoRR abs/2303.09297 (2023) - [i5]Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post Hoc Case Based Explanation with Feature Highlighting. CoRR abs/2311.03246 (2023) - 2022
- [c6]Eoin Delaney:
Case-based Explanations for Black-Box Time Series and Image Models with Applications in Smart Agriculture. ICCBR Doctoral Consortium 2022: 10-15 - [c5]Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane:
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. ICCBR 2022: 365-379 - [i4]Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR abs/2212.08733 (2022) - 2021
- [c4]Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene:
Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. AICS 2021: 60-71 - [c3]Eoin Delaney, Derek Greene, Mark T. Keane:
Instance-Based Counterfactual Explanations for Time Series Classification. ICCBR 2021: 32-47 - [c2]Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. IJCAI 2021: 4466-4474 - [i3]Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR abs/2103.01035 (2021) - [i2]Eoin Delaney, Derek Greene, Mark T. Keane:
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. CoRR abs/2107.09734 (2021) - 2020
- [c1]Eoin M. Kenny, Eoin D. Delaney, Derek Greene, Mark T. Keane:
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective. ICPR Workshops (3) 2020: 20-34 - [i1]Eoin Delaney, Derek Greene, Mark T. Keane:
Instance-Based Counterfactual Explanations for Time Series Classification. CoRR abs/2009.13211 (2020)
Coauthor Index
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