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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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Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018 | 2017 | 2016
Number of items: 21.

2020

Pinkosova, Zuzana and McGeown, William J. and Moshfeghi, Yashar (2020) The cortical activity of graded relevance. In: The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), 2020-07-25 - 2020-07-30.

Martínez-Castaño, Rodrigo and Htait, Amal and Azzopardi, Leif and Moshfeghi, Yashar (2020) Early risk detection of self-harm and depression severity using BERT-based transformers : iLab at CLEF eRisk 2020. In: Early Risk Prediction on the Internet, 2020-09-22 - 2020-09-25. (In Press)

AlQatan, Abdulaziz and Azzopardi, Leif and Moshfeghi, Yashar (2020) Analyzing the influence of bigrams on retrieval bias and effectiveness. In: ACM SIGIR International Conference on the Theory of Information Retrieval 2020, 2020-09-14 - 2020-09-18, Stavanger, Norway. (In Press)

Berquand, Audrey and Moshfeghi, Yashar and Riccardi, Annalisa (2020) Space mission design ontology : extraction of domain-specific entities and concepts similarity analysis. In: AIAA SciTech Forum 2020, 2020-01-06 - 2020-01-10.

2019

Maxwell, David and Azzopardi, Leif and Moshfeghi, Yashar (2019) The impact of result diversification on search behaviour and performance. Information Retrieval Journal, 22 (5). pp. 422-446. ISSN 1573-7659

Berquand, Audrey and McDonald, Iain and Riccardi, Annalisa and Moshfeghi, Yashar (2019) The automatic categorisation of space mission requirements for the Design Engineering Assistant. In: 70th International Astronautical Congress, 2019-10-21 - 2019-10-25.

Gwizdka, Jacek and Moshfeghi, Yashar and Wilson, Max L. (2019) Introduction to the special issue on neuro-information science. Journal of the Association for Information Science and Technology, 70 (9). pp. 911-916. ISSN 2330-1635

Moshfeghi, Yashar and Pollick, Frank E. (2019) Neuropsychological model of the realization of information need. Journal of the Association for Information Science and Technology, 70 (9). pp. 954-967. ISSN 2330-1635

Mackie, Stuart and MacDonald, David and Azzopardi, Leif and Moshfeghi, Yashar; (2019) Looking for opportunities : challenges in professional procurement search. In: SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, FRA, pp. 1397-1398. ISBN 9781450361729

Frommholz, Ingo and Liu, Haiming and Moshfeghi, Yashar (2019) The 9th symposium on future directions in information access. CEUR Workshop Proceedings, 2537. pp. 1-3. ISSN 1613-0073

Pinkosova, Zuzana and Moshfeghi, Yashar (2019) Cortical activity of relevance. CEUR Workshop Proceedings, 2537. pp. 10-15. ISSN 1613-0073

Paule, Jorge David Gonzalez and Sun, Yeran and Moshfeghi, Yashar (2019) On fine-grained geolocalisation of tweets and real-time traffic incident detection. Information Processing and Management, 56 (3). pp. 1119-1132. ISSN 0306-4573

Moshfeghi, Yashar and Triantafillou, Peter and Pollick, Frank E.; (2019) Towards predicting a realisation of an information need based on brain signals. In: The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. ACM, USA, pp. 1300-1309. ISBN 9781450366748

2018

Paule, Jorge David Gonzalez and Moshfeghi, Yashar and Macdonald, Craig and Ounis, Iadh; (2018) Learning to geolocalise Tweets at a fine-grained level. In: CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management. ACM, ITA, pp. 1675-1678. ISBN 9781450360142

Moshfeghi, Yashar and Pollick, Frank E.; (2018) Search process as transitions between neural states. In: Proceedings of the 2018 World Wide Web Conference. ACM, FRA, pp. 1683-1692. ISBN 9781450356398

2017

Paule, Jorge David Gonzalez and Moshfeghi, Yashar and Jose, Joemon M. and Thakuriah, Piyushimita (Vonu); (2017) On fine-grained geolocalisation of tweets. In: ICTIR '17 Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc, NLD, pp. 313-316. ISBN 9781450344906

Sun, Yeran and Moshfeghi, Yashar and Liu, Zhang (2017) Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel. Journal of Transport & Health, 6. pp. 93-104. ISSN 2214-1405

Chen, Long and Zhang, Huaizhi and Jose, Joemon M. and Yu, Haitao and Moshfeghi, Yashar and Triantafillou, Peter (2017) Topic detection and tracking on heterogeneous information. Journal of Intelligent Information Systems. ISSN 1573-7675

Maxwell, David and Azzopardi, Leif and Moshfeghi, Yashar; (2017) A study of snippet length and informativeness : behaviour, performance and user experience. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '17 . ACM, New York, NY., pp. 135-144. ISBN 9781450350228

Azzopardi, Leif and Crane, Matt and Fang, Hui and Ingersoll, Grant and Lin, Jimmy and Moshfeghi, Yashar and Scells, Harrisen and Yang, Peilin and Zuccon, Guido; (2017) The Lucene for information access and retrieval research (LIARR) workshop at SIGIR 2017. In: SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York, NY, pp. 1429-1430. ISBN 9781450350228

2016

Moshfeghi, Yashar and Triantafillou, Peter and Pollick, Frank E.; (2016) Understanding information need : an fMRI study. In: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. ACM, New York, NY, pp. 335-344. ISBN 9781450340694

This list was generated on Sat Aug 8 18:13:50 2020 BST.