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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Jump to: 2019 | 2018 | 2017 | 2016
Number of items: 4.

2019

Werner, Christoph and Bedford, Tim and Quigley, John (2019) Mapping conditional scenarios for knowledge structuring in (tail) dependence elicitation. Journal of Operational Research Society. ISSN 0160-5682 (In Press)

2018

Werner, Christoph and Bedford, Tim and Quigley, John (2018) Sequential refined partitioning for probabilistic dependence assessment. Risk Analysis. ISSN 0272-4332

2017

Werner, Christoph and Hanea, Anca and Morales-Napoles, Oswaldo; Dias, Luis and Morton, Alec and Quigley, John, eds. (2017) Eliciting multivariate uncertainty from experts : considerations and approaches along the expert judgement process. In: Elicitation. International Series in Operations Research & Management Science . Springer Nature, New York. ISBN 978-3-319-65051-7

2016

Werner, Christoph and Bedford, Tim and Cooke, Roger M. and Hanea, Anca M. and Morales-Napoles, Oswaldo (2016) Expert judgement for dependence in probabilistic modelling : a systematic literature review and future research directions. European Journal of Operational Research, 258 (3). pp. 801-819. ISSN 0377-2217

This list was generated on Fri Aug 14 06:13:36 2020 BST.