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interpretability is by using integrative approaches to analyse and predict target classes based on the context of prior biological knowledge. This study aims to propose accurate and interpretable cancer prediction
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catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem . Required knowledge A solid grounding in machine learning
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increase situational awareness by automatically identifying unsafe road conditions and risky driving behaviors – and sending alerts in real time to affected vehicles. Required knowledge Required knowledge
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, modeling uncertainty in data sources and queries, and exploiting rich information from several data sources. Required knowledge Required knowledge Essential First class Honors or Masters degree including
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and multimodal applications. Required knowledge Candidates are expected to have a solid background in machine learning and Natural Language Processing. Research experience in multimodal research is
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allowed me to become a more self-sufficient musician. It's contributed to a better home setup and equipment to help me learn better. From this I've gained invaluable knowledge about content producing, which
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to improve their long-term health outlook. Project Requirements and Goals Raise the level of personal health insights for longer and healthier lives Raise the level of personal health knowledge Reduce the
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We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on. We can model these relationships
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aspects: utilizing the geographical locations of queries and social network data to provide more relevant results; acknowledging and handling inherent uncertainties in the data; and exploiting knowledge
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for monitoring and controlling the brain with medical devices and imaging brain activity in new and important ways. Required knowledge Statistical signal processing, Statistical Inference, Machine learning, Deep