Artificial Intelligence
Exploring Artificial Intelligence methods for developing adaptive systems and data-driven solutions to complex real-world challenges.
Focus
Research areas
Machine Learning
Exploring ML techniques to develop intelligent systems, focusing on prediction, pattern recognition, and data-driven solutions.
Deep Learning
Reproducible training, drift detection and the engineering practice that keeps a deployed model honest over time.
Natural Language Processing
Retrieval, summarisation and extraction over domain documents, with a particular interest in evaluating what these systems get wrong.
Computer Vision
Detection and segmentation in settings where labelled data is scarce and the cost of a false negative is high.
Intelligent Diagnosis
Developing intelligent systems to analyze data, identify patterns, and support accurate, timely, and reliable diagnosis.
Publications
6 in total
2024
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Evaluating Summarisation Without Reference Summaries
Abstract
Placeholder abstract. Reference-free evaluation is attractive precisely where it is least reliable. Replace this entry with your own preprint.