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References and further reading [1] Kaplan, Andreas and Michael Haenlein, “Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial
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– Artificial Intelligence and Autonomous Systems; Business Information Systems; Computer Science; Internetworking and Network Security study full-time or part-time with extenuating circumstances *Please note
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", Proc. 23rd Australian Joint Conference on Artificial Intelligence (AI'2010) [Springer Lecture Notes in Artificial Intelligence (LNAI), vol. 6464], Adelaide, Australia, 7-10 December 2010, Springer, pp82
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of APR techniques and make them more user-friendly. Required knowledge Software Engineering Artificial Intelligence Statistics
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Alternate Meta-learning. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). Bi, Sheng; Chen, Xiya; Li, Yuan-Fang; Wang, Yongzhen; Qi, Guilin. Knowledge-enriched, Type-constrained and
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, U.S.A. P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes, Proc. 16th Australian Joint Conference on Artificial Intelligence (AI'03), Perth
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project will combine data science and artificial intelligence expertise from the Faculty of Information Technology with gravitational-wave astrophysics expertise from the School of Physics and Astronomy in
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application will be provided if shortlisted (Research assistant and supported visiting program). The Aim This study centres on how computer-based decision procedures, under the broad umbrella of artificial
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to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a joint initiative of Monash University and the Australian Federal Police, and
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to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a joint initiative of