Eoin Delaney - RankMe

23 papers A* 4C 3Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating the Ability of Explanations to Disambiguate Models in a Rashomon Set. CoRR Kaivalya Rawal, Eoin Delaney, Zihao Fu, Sandra Wachter, Chris Russell
2025	—	`conf`	Evaluating Model Explanations without Ground Truth. FAccT Kaivalya Rawal, Zihao Fu, Eoin Delaney, Chris Russell
2025	J	`jnl`	Evaluating Model Explanations without Ground Truth. CoRR Kaivalya Rawal, Zihao Fu, Eoin Delaney, Chris Russell
2025	J	`jnl`	FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models. CoRR Zihao Fu, Ryan Brown, Shun Shao, Kai Rawal, Eoin Delaney, Chris Russell
2025	J	`jnl`	LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations. CoRR Harry Mayne, Ryan Othniel Kearns, Yushi Yang, Andrew M. Bean, Eoin Delaney, Chris Russell, Adam Mahdi
2024	A*	`conf`	Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). AAAI Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2024	C	`conf`	Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI. ICCBR Greta Warren, Eoin Delaney, Christophe Guéret, Mark T. Keane
2024	A*	`conf`	OxonFair: A Flexible Toolkit for Algorithmic Fairness. NeurIPS Eoin Delaney, Zihao Fu, Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2024	J	`jnl`	OxonFair: A Flexible Toolkit for Algorithmic Fairness. CoRR Eoin Delaney, Zihao Fu, Sandra Wachter, Brent D. Mittelstadt, Chris Russell
2024	J	`jnl`	Resource-constrained Fairness. CoRR Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell
2023	J	`jnl`	Advancing Post Hoc Case Based Explanation with Feature Highlighting. CoRR Eoin M. Kenny, Eoin Delaney, Mark T. Keane
2023	A*	`conf`	Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. IJCAI Eoin M. Kenny, Eoin Delaney, Mark T. Keane
2023	J	`jnl`	Counterfactual explanations for misclassified images: How human and machine explanations differ. Artif. Intell. Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2023	J	`jnl`	Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. CoRR Greta Warren, Mark T. Keane, Christophe Guéret, Eoin Delaney
2022	—	`conf`	Case-based Explanations for Black-Box Time Series and Image Models with Applications in Smart Agriculture. ICCBR Doctoral Consortium Eoin Delaney
2022	J	`jnl`	Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. CoRR Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane
2022	C	`conf`	Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. ICCBR Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane
2021	A*	`conf`	If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. IJCAI Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
2021	J	`jnl`	If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth
2021	C	`conf`	Instance-Based Counterfactual Explanations for Time Series Classification. ICCBR Eoin Delaney, Derek Greene, Mark T. Keane
2021	—	`conf`	Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. AICS Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene
2021	J	`jnl`	Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. CoRR Eoin Delaney, Derek Greene, Mark T. Keane
2020	J	`jnl`	Instance-Based Counterfactual Explanations for Time Series Classification. CoRR Eoin Delaney, Derek Greene, Mark T. Keane