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-70%). This is because there is a large variation between EEG data of different subjects, so a TSC model cannot generalise on unseen subjects well. In this research project we investigate self
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of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience
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feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's
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place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful
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cyberbullying compared to 17.75% of nonsexually abused girls. There are also high rates of other criminal activities observed in social medias, such as scams, fraud and intellectual property crimes. This PhD
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum
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possible through the philanthropic support of the Narodowski Investment Trust. The following 6 scholarships will be awarded each year: Alex Raydon PhD Scholarship Alex Raydon and Nina Narodowski PhD
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security best practices, and compliance standards About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great
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the capacity to work collaboratively across diverse teams. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where