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My research involves the development of relational machine learning methods and their application to software engineering, juris-informatics, and the automation of scientific inference through the integration of abductive and inductive reasoning. Specific interests include the application of inductive logic programming to energy-aware compiler tuning and interactive cyber-security, the use of non-monotonic action theories in requirements engineering and language acquisition, the automation of scientific method in social insect behaviour and yeast biology, and computational analysis of UK case law. I am a member of the Intelligent Systems research group and the Interactive AI centre for doctoral training.
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31/01/14 → 30/04/15
Ray, O., 2022, p. 219-233. 15 p.
Research output: Contribution to conference › Conference Paper › peer-review1 Citation (Scopus)
AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active LearningStevens, G., Fotopoulou, S., Bremer, M. & Ray, O., 3 Sept 2021, In: Journal of Open Source Software. 6, 65, p. 3635
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile62 Downloads (Pure)
Ray, O. & Moyle, S., 10 Nov 2021, 13th International Conference on Knowledge and Systems Engineering: KSE21. Institute of Electrical and Electronics Engineers (IEEE), 7 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)2 Citations (Scopus)