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is delivered to time, quality and governance expectations. About the Team ANZIC-RC is a major clinical research methods centre for intensive care in Australia and New Zealand, based at the Alfred
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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, understanding how bias propagates through chains of autonomous decisions becomes essential. The candidate will contribute to the development of empirically validated methods for identifying, measuring, and
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a model of the distribution of the elements of this data-set, possibly as a mixture of several
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Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by bringing rich contextual information to the analyst’s workspace. Despite the technological capability to support ICDA
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This project will develop general cutting edge generative AI and natural language processing methods to advance AI-augmented human-in-the-loop coaching and associated training planning and outcome
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Transactions on Knowledge and Data Engineering 2016;28(7). Laitila P, Virtanen K. On Theoretical Principle and Practical Applicability of Ranked Nodes Method for Constructing Conditional Probability Tables
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component involving medical practicioners and providers, and also network / telecoms providers, to collect the required datasets of applications, services, and geographically available QoS data. The technical
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People with disabilities are excluded from the assistive technology creation process because the methods and tools that are used are inaccessible. This leads to missed opportunities to create more