School Management Team

Dr Jack O'Neill

Head of Data Science and AI

Jack O'Neill lectures in computer science and AI at the School of Computer Science. He has published in the area of Active Learning, XR and applied Machine Learning. His research interests also include General Artificial Intelligence and Active Inference. He holds a PhD in Computer Science from TU Dublin.

Teaching Areas:

Machine Learning
Operating Systems
Networking
Databases

Research Interests:

Active Learning
Applied Machine Learning
General Artificial Intelligence
Active Inference

Publications:

- O’Neill, J. (2015) An Evaluation of Selection Strategies for Active Learning with Regression. Dublin Institute of Technology.
- O’Neill, J., Jane Delany, S. and MacNamee, B. (2016) ‘Model-free and model-based active learning for regression’, in Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7--9, 2016, Lancaster, UK. Springer International Publishing, pp. 375–386.
- O’Neill, J., Delany, S.J. and Mac Namee, B. (2016) ‘Activist: A New Framework for Dataset Labelling’, in Irish Conference on Artificial Intelligence and Cognitive Science (AICS). Dublin Institute of Technology, pp. 140–148.
- O’Neill, J., Delany, S.J. and Mac Namee, B. (2018a) ‘From Rankings to Ratings: Rank Scoring via Active Learning?’, in Proceedings of the 2nd International Workshop on Augmenting Intelligence with Humans\--in-\-the-\-Loop co-located with 17th International Semantic Web Conference (ISWC 2018), pp. 38–50.
- O’Neill, J., Delany, S.J. and Mac Namee, B. (2017) ‘Rating by Ranking: An Improved Scale for Judgement-Based Labels’, in Workshop on Interfaces and Human Decision Making for Recommender Systems, pp. 24–29.
- O’Neill, J., Delany, S.J. and Mac Namee, B. (2018b) ‘Rank Scoring via Active Learning (RaScAL)’, in HumL@ ISWC.