• High-Throughput Continuous Clustering of Message Streams (PDF),‌ Boydell, O., Landowski, M., Wu, G., Cunningham, P., 2013, 2013 RealStream Conference Proceedings, Sept 2013.‌
  • Exploring Customer Specific KPI Selection Strategies for an Adaptive Time Critical User Interface (PDF), Keck, I., Ross, R., International Conference on Intelligent User Interfaces, April 2014.
  • Linguistically Informed Tweet Categorization for Online Reputation Management (PDF), Lynch, G., Cunningham, P., Proceedings on the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 73-78. June 2014.
  • NudgeAlong: A Case Based Approach to Changing User Behaviour [Link] Eoghan O’Shea, Sarah Jane Delany, Rob Lane, Brian Mac Namee, Case-Based Reasoning Research and Development, Lecture Notes in Computer Science Volume 8765, 2014, pp 345-359
  • High-Throughput, Web-Scale Data Stream Clustering, [Link] G Wu, O Boydell, P Cunningham, Proceedings of the 4th Workshop on Clickstream Data Mining (WSCD2014), New York, NY,2014
  • A supervised learning approach towards profiling the preservation of authorial style in literary translations [Link] Lynch, Gerard, Proceedings 25th COLING (2014): 376-386.
  • Predicting cognitive load levels from speech data [Link] J Su, S Luz, Proceedings of the International Conference on Non-Linear Speech Processing (NOLISP 2015), Vietri sul Mare, Italy, May 2015.
  • TopicListener: Observing Key Topics from Multi-Channel Speech Audio Streams [Link], J Su, O Boydell, Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications (BigDataService 2016), Oxford, UK, March 2016.
  • Comparison of Categorical Clustering (PDF), Wang, F. Franco, H., Pugh, J. Ross, R. http://info.nathean.com/predict, October 2016.
  • Comparison of Categorical Clustering Summary (PDF), Wang, F. Franco, H., Pugh, J. Ross, R. http://info.nathean.com/predict, October 2016.
  • Topic Stability over Noisy Sources [Link], J Su, D Greene, O Boydell, Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT), Osaka, Japan, December 2016.