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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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additional information about the school and faculty research, please visit: https://www.sydney.edu.au/engineering/our-research.html. EEO statement At the University of Sydney, our shared values are trust
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Faithful and Salient Multimodal Data-to-Text Generation Primary supervisor Teresa Wang Co-supervisors
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This project heavily focuses on maps (e.g. GoogleMaps or Open Street Map). We will explore various properties of road networks, including the granularity of road networks, routes and trajectories on road networks, and query processing on road networks. A number of inter-disciplinary...
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structured domains such as trees and graphs is a challenging but important problem. This project aims to solve these limitations. Novel Adversarial Machine Learning algorithms for structured data will be
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On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design
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This project concerns the investigation of suitable socio-technical data infrastructure for law-enforcement research and development. International collaboration between law-enforcement agencies
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Apply now Job no:511514 Work type:Casual Location:Sydney, NSW Categories:Tutor, Lecturer, Other, Demonstrator The Centre for Big Data Research in Health within the Faculty of Medicine & Health is
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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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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