Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of Sydney
- The University of Queensland
- University of Adelaide
- Curtin University
- UNIVERSITY OF SYDNEY
- University of Southern Queensland
- Australian National University
- La Trobe University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- BOND UNIVERSITY
- CSIRO
- Macquarie University
- Murdoch University
- Queensland University of Technology
- The University of Western Australia
- UNIVERSITY OF ADELAIDE
- 9 more »
- « less
-
Field
-
on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work
-
environment. The virtual world runs a little like a computer game, except there are no human players, all the components of the game are computer-controlled by algorithms parameterised from real insect
-
distributions. We wish to represent the biological networks into proper formats, e.g., vector representations, so that existing machine learning algorithms (e.g., support vector machines) can readily be used
-
models (eg auto-encoders and generative adversarial networks) and reinforcement/imitation learning algorithms for Markov Decision Processes. The application areas are different problems in text processing
-
representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
-
are based on the Cassowary algorithm, developed in part by Monash researchers. While constraint-based layout is powerful, it can be difficult for users to understand the interactions and behaviour
-
designing and implementing new algorithms to produce visual aids to assist people to reason with causal Bayesian networks, as well as the planning and conduct of exploratory usability studies to assess
-
data infrastructure necessary for collaborative research into, and development of, analytical techniques and algorithmic models. The Faculty of Information Technology has a mission to advance social good