Machine Intelligence and Decision Systems
The MInDS research group takes an interdisciplinary approach to machine learning and decision systems. The group’s research focuses on methods from computer science, machine learning, statistics, probability theory, and psychology, to solve problems and challenges presented by scale, complexity and variability.
Many of the group members work with practitioners to produce predictive and decision models, that often combine machine learning and data with human knowledge, with application to a wide range of domains including medical, legal, engineering, bioinformatics, security, sports, economics, risk and safety.
- Artificial Intelligence and Explainable AI
- Bayesian Inference
- Causal Discovery
- Decision Support Systems
- Document Clustering and Summarisation
- Information Retrieval
- Knowledge-Based Systems
- Machine Learning (Predictive and Causal)
- Optimal Decision Making
- Risk Assessment
- Statistics and Probability
- Uncertainty Quantification
Read more about the Machine Intelligence and Decision Systems group