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of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. [4] Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach [code
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of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. [4] Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach [code
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, demographic, lifestyle, laboratory, medical imaging and, where available, longitudinal patient data. Machine-learning and deep-learning techniques will be developed and compared for cancer-risk prediction
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, demographic, lifestyle, laboratory, medical imaging and, where available, longitudinal patient data. Machine-learning and deep-learning techniques will be developed and compared for cancer-risk prediction
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imaging and longitudinal data. A range of machine-learning and deep-learning techniques will be developed and evaluated for cardiovascular disease prediction and risk assessment. Advanced AI and Decision
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imaging and longitudinal data. A range of machine-learning and deep-learning techniques will be developed and evaluated for cardiovascular disease prediction and risk assessment. Advanced AI and Decision
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Primary supervisor Lan Du Research area Machine Learning Project Background and Motivation The "inverse design" of molecules from analytical spectra (such as MS2, NMR, or IR) is a fundamental
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Primary supervisor Lan Du Research area Machine Learning Project Background and Motivation The "inverse design" of molecules from analytical spectra (such as MS2, NMR, or IR) is a fundamental
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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
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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