Sort by
Refine Your Search
-
Listed
-
Employer
- Monash University
- University of New South Wales
- The University of Queensland
- RMIT University
- Macquarie University
- CSIRO
- Southern Cross University
- University of Sydney
- Curtin University
- Flinders University
- University of Tasmania
- RMIT UNIVERSITY
- The University of Western Australia
- Victoria University
- Central Queensland University
- Deakin University
- La Trobe University
- Swinburne University of Technology
- University of Adelaide
- Australian National University
- Edith Cowan University
- Federation University Australia
- James Cook University
- Charles Sturt University
- UNIVERSITY OF SYDNEY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Amgen Scholars Program
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- ;
- FLINDERS UNIVERSITY
- Murdoch University
- Nature Careers
- Saver Plus Program
- Strategic projects and initiatives in higher education (nsw.gov.au)
- The University of Newcastle
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Melbourne
- University of Technology Sydney
- University of Western Sydney
- 30 more »
- « less
-
Field
-
. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
-
University of New South Wales | Canberra, Australian Capital Territory | Australia | about 1 month ago
Mathematics & Statistics. A comprehensive program of Mathematics courses is taught from first through to third year and forms part of a three-year Bachelor of Science degree majoring in Mathematics, or a four
-
develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
-
/papers/an-empirical-study-of-model-agnostics-techniques-for-defect-prediction-models
-
at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need
-
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
-
, L.J., D. L. Dowe and F. Vahid (2004). Minimum Message Length Autoregressive Model Order Selection . In M. Palanaswami, C. Chandra Sekhar, G. Kumar Venayagamoorthy, S. Mohan and M. K. Ghantasala (eds
-
modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data", Computational Ecology and Software, 2012, 2(3):140-159 Wallace, C.S
-
The brain is a complex system and monitoring and imaging methods to observe critical neurophysiological variables underlying brain function are limited. This project works at the intersection of statistical signal processing, inference, machine learning and dynamical systems theory to...
-
Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health