Machine Learning is revolutionising the world. It is difficult to think of a technology that has progressed so rapidly, in terms of real-world impact. Our group is interested in new theory, metholodogies, and cross-discipline scientific impact, as well as consumer-driven applications.
Reinforcement learning, game theory, Bayesian methods.
Prof Gavin Brown
Information theoretic methods, feature selection, deep learning, applications in health.
Dr Ke Chen
Deep learning, vision and speech representations, zero-shot learning, game AI.
Dr Tingting Mu
Representation and metric learning, relational data analysis, NLP/vision.
Dr Xiaojun Zeng
Big Data analytics, deep learning, fuzzy systems, applications in finance, energy, and health.
Prof Ross King
Automation of science, inductive logic programming.
|Health Data Analytics||Image Analytics||Computational Statistics||Text Analytics|
|Prof Magnus Rattray
Dr Niels Peek
Prof Richard Emsley
The e-Health Research Centre
| Prof Tim Cootes
Dr Neil Thacker
Prof Chris Taylor FREng OBE