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of novel data sources and agent-based models for the Australian cane toad invasion. The successful candidate will use this case study as a foundation for integrating multi-paradigm modelling approaches and
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system to unlock important information from unstructured data sources including X-ray images, surgical and radiology text reports. We will compare prediction models based on existing, routinely collected
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development lifecycle greatly improves its quality and productivity. Here calls for a systematic development lifecycle for the DL systems. Due to the fundamentally different programming paradigm and logic
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. This would provide thousands of diverse example images with corresponding body part locations. These data would be used to train a deep learning model 5, 7 . The model’s high-quality body part predictions may
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the work be attributed? How much does the final image rely on training data, typically sourced from human artworks? What moral rights can be claimed on the production of “a work of art created by
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narrative to communicate insights (instead of just plotting data). The aim for this PhD is to research, prototype and evaluate approaches to increase the explanatory effectiveness of the visualisations
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as child exploitation material). It will involve the use of deep neural networks for image, video, audio, social network, and/or text classification. The Faculty of Information Technology has a mission
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inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a
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of learners as they develop. 3. Develop and evaluate a presentation paradigm to enable non-data science savvy users to get actionable insights into the findings obtained through the measurement framework
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Australia. The scholarship was created in honour of Ric (Frederic) Bouvier who was an icon in the evolution of ambulance services and the paramedic profession in Australia. Total scholarship value $10,000