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Conference on Artificial Intelligence (AI'2010) [Springer Lecture Notes in Artificial Intelligence (LNAI), vol. 6464], Adelaide, Australia, 7-10 December 2010, Springer, pp82-91 R T Edwards and D L Dowe (1998
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the Department of Data Science & Artificial Intelligence at the Faculty of Information Technology. Drive impactful, interdisciplinary teaching and research that helps reverse the biodiversity crisis and tackle
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’ of Artificial Intelligence. The successful applicant will contribute to the wider project, but will also undertake their own distinct PhD project. The details of the thesis project are open to negotiation, but
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)humanity’ of Artificial Intelligence. The successful applicant will contribute to the wider project, but will also undertake their own distinct Masters project. The details of the thesis project are open to
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Bednarz. "Explainable ai and reinforcement learning—a systematic review of current approaches and trends." Frontiers in artificial intelligence 4 (2021): 550030.
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/s12864-019-5546-z Filipp F., Opportunities for Artificial Intelligence in Advancing Precision Medicine. 2019. Current Genetic Medicine Reports volume 7, pages208–213. Ma Y., Ding Z., Qian Y., Shi X
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Conference on Artificial Intelligence (AI'03), Perth, Australia, 3-5 Dec. 2003, Published in Lecture Notes in Artificial Intelligence (LNAI) 2903, Springer-Verlag, pp269-281 Wallace, C.S. (2005), ``Statistical
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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pathophysiology. Significant expertise in these areas is essential, and experience in artificial intelligence, machine learning, or simulation as applied to medical imaging will be highly regarded. As a key member
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical