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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my scholarship has provided. Am
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. Participating in an overseas study program . This excludes the Global Immersion Guarantee. Living with a disability or medical condition. You must be registered with Disability Support Services . Benefits $3,000
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students entering the Bachelor of Commerce (Honours) program majoring in Marketing at Monash University. This scholarship provides financial support to full-time students, awarded on the basis of academic
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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interested in, please apply via our website and complete the online expression of interest form https://www.monash.edu/ research-ethics-and-integrity/ animal-ethics/accordion- content/accordion_1 For further
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You must meet the following criteria: Hold or about to complete an undergraduate degree or equivalent qualification recognised for admission to the Monash Juris Doctor Program. Intend to enrol
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure Advisory System, or data from other implantable or wearable devices. This involves consideration of both...