With interests in all aspects of machine learning, the research remit of the Machine Learning Group is broad. From analysing data in diverse representations such as graphs, images, time series and spatial data, to using state-of-the-art methods in data mining, deep learning, reinforcement learning, symbolic learning, learning theory and evolutionary computation. The group looks into various application domains, including bioinformatics, biomedical image analysis, cybersecurity, human-computer interaction, robotics and recommender systems.
