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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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Overview This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention strategies using hybrid quantum-classical approaches. While current learning analytics systems rely on...
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prediction). O3: Joint OOD detection + AL: Combine selection with OOD filtering/triage policies that decide what to label, what to defer, and what to reject. O4: Human- and compute-aware AL: Incorporate
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Monash University-Vietnam Government PhD Scholarship (Project 89) This joint scholarship program supports high-achieving Vietnamese candidates to undertake a PhD at Monash University. Applicants can
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Minimum Message Length'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf
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enjoy my learning experience in the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make...
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surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Engineering – Joint Departments of Electrical & Computer Systems Engineering and Mechanical & Aerospace
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the conveyed information. The...