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me charitable financial assistance to support my single-income family, maintain a high academic standard, and achieve a healthy work-life balance. It has allowed me to focus on my studies and research
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has been shaped by numerous challenges. I left home at 12 and grew up in the out-of-home care system, which had a significant impact on my academic performance and aspirations. Although I didn't achieve
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to study, the scholarship I received significantly reduced the financial stress I experienced in my first year and allowed me to focus on my studies. I've been able to have a better work-life balance and
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, and use these to explore how the population reacts to changes. Many behaviours that are not well understood in social systems can be accurately captured and understood using these techniques. An example
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A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have
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, including (bu not limited to) machine translation and summarisation. Our previous work in this area include (but is not limited to) learning to actively learn [1,2,3], multitask learning [4,5], semi
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to be communicated through explanatory visualisations? How can these visualisations and their use be evaluated (e.g. using eye-tracking devices, think-aloud and other sources of evidence)? What
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development in the field’ [8]. As part of a large, active Australian Research Council funded group, this project will build on these foundations to develop new technologies for supervised machine learning from
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, comprehensible and explainable machine learning explore the use of near-time data from healthcare providers to update these models over time.
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that is vital to their lives, such as information on their entitlements, public services, health, education or work opportunities. Timely access to information is essential to perform many economic, social