Phonological effects on the development of inflectional morphology. This project investigates the mechanisms underlying typically developing children's variable omission of inflectional morphemes (for example, plural, past tense). The results will have significant implications for the evaluation and design of interventions for language-delayed populations where serious problems of communication persist.
Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are compl ....Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are complete and noise-free. These weaknesses limit its utility, because real data such as those that must be analysed in processing social networks, fraud detection do not satisfy the restrictions. The aim of this project is to develop theoretical and practical advances in OL that overcome the existing weaknesses.Read moreRead less
Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the bui ....Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.Read moreRead less
Square Eyes or All Lies? Understanding Children's Exposure to Screens. This project will examine Australian parents’ number one concern about their children’s health and behaviour – their interactions with electronic screens. Current screen time guidelines are based on low-quality evidence and lack the nuance required to address this complex issue. This project will use innovative technology to resolve these weaknesses. Wearable cameras will measure what children are doing on screens, and where, ....Square Eyes or All Lies? Understanding Children's Exposure to Screens. This project will examine Australian parents’ number one concern about their children’s health and behaviour – their interactions with electronic screens. Current screen time guidelines are based on low-quality evidence and lack the nuance required to address this complex issue. This project will use innovative technology to resolve these weaknesses. Wearable cameras will measure what children are doing on screens, and where, when, and how long they are doing it. The project will also investigate how screen time impacts children’s development and how it is influenced by their environment. This evidence will benefit children by improving screen time guidelines, and help parents understand the impact of screen time on children’s development.
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Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Read moreRead less
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoret ....Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.Read moreRead less
The effect of sound change on children's speech in community diversity. This project aims to explain how children's speech processing adapts to cultural and linguistic diversity and how such adaptation may seed sound change in language. Using acoustic and articulatory (ultrasound) methods, the project intends to explain how children rapidly and authentically acquire the intricately nuanced accents of their communities. The project aims to advance theories of language variation and change by prov ....The effect of sound change on children's speech in community diversity. This project aims to explain how children's speech processing adapts to cultural and linguistic diversity and how such adaptation may seed sound change in language. Using acoustic and articulatory (ultrasound) methods, the project intends to explain how children rapidly and authentically acquire the intricately nuanced accents of their communities. The project aims to advance theories of language variation and change by providing new insights into the forces that shape the sounds of language. An understanding of how children's speech patterns develop and ultimately converge to local norms has implications for the social integration of second language learning children and refugee/asylum seekers, and for clinical and speech technology applications for children.Read moreRead less
Global Security, Strategic Paradox and Limited War: The Politics and Ethics of Force. This project will provide detailed empirical research results plus conceptual innovations in the areas of peace and conflict studies. These will contribute to better understanding of contemporary threats and the effects of using force, and will enable the development of more effective policy options. The project will contribute strongly to the ARC's research priority 4, 'safeguarding Australia', by providing im ....Global Security, Strategic Paradox and Limited War: The Politics and Ethics of Force. This project will provide detailed empirical research results plus conceptual innovations in the areas of peace and conflict studies. These will contribute to better understanding of contemporary threats and the effects of using force, and will enable the development of more effective policy options. The project will contribute strongly to the ARC's research priority 4, 'safeguarding Australia', by providing important studies, analytical tools and policy recommendations that will strengthen Australia's national security, contribute to reducing conflict, and help us shape the regional and global security environment in our interests.Read moreRead less
Antipodean Geology: A Modern History of Southern Hemisphere Earth. This project aims to produce a modern history of the ancient mega-continent Gondwanaland. An international team intends to reorient the history of geosciences towards the southern hemisphere by investigating geologists working in Australasia, South Asia, South America, Southern Africa and Antarctica since 1788. This includes analysis of how Gondwana fossils came to fuel the industrial age. The team also aims to explain how, why a ....Antipodean Geology: A Modern History of Southern Hemisphere Earth. This project aims to produce a modern history of the ancient mega-continent Gondwanaland. An international team intends to reorient the history of geosciences towards the southern hemisphere by investigating geologists working in Australasia, South Asia, South America, Southern Africa and Antarctica since 1788. This includes analysis of how Gondwana fossils came to fuel the industrial age. The team also aims to explain how, why and with what effect the term 'Gondwana' has retained such strong cultural purchase, well beyond the geological domain. This should productively recast ideas of a global south and improve understanding of what ‘Gondwana’, and deep geological time, mean for societies across the southern hemisphere. Read moreRead less