Research

Select Conferences and Journals

1. OxonFair: A Flexible Toolkit for Algorithmic Fairness. In NeurIPS 2024 Main Track. Eoin Delaney, Zihao Fu and Chris Russell.
2. Evaluating Model Explanations without Ground Truth. In FAccT 2025. Kai Rawal, Zihou Fu, Eoin Delaney and Chris Russell.
3. Counterfactual explanations for misclassified images: How human and machine explanations differ. Artificial Intelligence (Top AI Journal). Eoin Delaney, Arjun Pakrashi, Derek Greene and Mark T. Keane.
4. Instance-based Counterfactual Explanations for Time Series Classification. Best Student Paper
   29th International Conference on Case-Based Reasoning (ICCBR-21), Virtual, September 2021
   Eoin Delaney, Derek Greene and Mark T. Keane
5. If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
   International Joint Conference on Artificial Intelligence (IJCAI-21), Montreal, August 2021
   Mark T. Keane, Eoin M. Kenny, Eoin Delaney, and Barry Smyth
6. Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. Best Paper
   ICCBR-22
   Eoin Delaney, Derek Greene and Mark T. Keane
7. Nearest Neighbour-Based Data Augmentation for Time Series Forecasting. AICS-21.
   Duncan Wallace, Eoin Delaney, Mark T. Keane and Derek Greene

Workshops

1. Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
   ICML (International Conference on Machine Learning) Workshop on Algorithmic Recourse, Vienna, July 2021
   Eoin Delaney, Derek Greene and Mark T. Keane
2. Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation
   DeepCBR Workshop (IJCAI-21), Virtual, August 2021
   Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Mohammed Temraz, Derek Greene and Barry Smyth
3. Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective.
   International Conference on Pattern Recognition (ICPR), Virtual, September 2021
   Mark T. Keane, Eoin M. Kenny, Eoin Delaney and Derek Greene

Activities

• I am on the program committee for ACM FAccT 2025.

• I organized a workshop on Auditing Accountability in Trustworthy Artificial Intelligence with Applications in Personalised Medicine. Big shout our and thanks to St Annes College Oxford and the GET team for helping me with this!

• I am honoured to receive the national award of Best Application of AI in a Student Project.

• I have recieved a scholarship from AIES to present my research at the AIES student track.

• I have received a scholarship for attending the ICCBR-22 doctoral consortium.

• I have been invited to be a program committee member for the Explainable Agency in Artificial Intelligence Workshop at AAAI-22.

• Program committee member for AIES’22.

• I am a reviewer for Data Mining and Knowledge Discovery.

• Check out the UCD Discovery podcast where I discuss my work on Counterfactual Explanations and the overconfident nature of many AI systems.