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Primary supervisor Thanh Thi Nguyen Research area Machine Learning Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where the target person appears to be...
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Primary supervisor Thanh Thi Nguyen Research area Data Science and Artificial Intelligence This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare centre”,...
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positives; runtime detection tools are free of false positives but inefficient to achieve a full spectrum examination. A generic, scalable and effective vulnerability detection platform, taking advantage
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Primary supervisor Mahsa Salehi Co-supervisors Wray Buntine Research area Temporal Analytics Lab Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection
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Primary supervisor Mahsa Salehi Co-supervisors Wray Buntine Research area Temporal Analytics Lab Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection
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positives; runtime detection tools are free of false positives but inefficient to achieve a full spectrum examination. A generic, scalable and effective vulnerability detection platform, taking advantage
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Primary supervisor Thanh Thi Nguyen Research area Machine Learning Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where the target person appears to be...
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Primary supervisor Thanh Thi Nguyen Research area Data Science and Artificial Intelligence This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare centre”,...
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a diversity of sources? We could adapt Bayesian meta-reasoning and work with the LLM in an agentic manner, or we could adapt alternative forms of LLMs like JEPA. Required knowledge Good Python
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reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under