124 linked-data-"https:"-"https:"-"https:"-"https:"-"OSU" scholarships at Monash University
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Primary supervisor Patrick Olivier Co-supervisors Lay Ki Soon (Monash Malaysia) Aare Puussaar (Lived Informatics) Research area Action Lab Research data governance is an under-explored issue, and
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Primary supervisor Patrick Olivier Co-supervisors Lay Ki Soon (Monash Malaysia) Aare Puussaar (Lived Informatics) Research area Action Lab Research data governance is an under-explored issue, and
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design intelligent techniques for scheduling and offloading tasks to the cloud and peer
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without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research/learning
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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work
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simulation techniques, as well as available data from scientific publications, citations, and science career trajectories. The goal is to design better incentives for scientists to produce their best work