Research

Conferences

1. 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
2. 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
3. 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
4. Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Under Review.
   Eoin Delaney, Arjun Pakrashi, Derek Greene and Mark T. Keane
5. 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 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.