Research papers

Below is a selection of EPCC’s research papers from the past two years. To explore all our papers, search the University of Edinburgh's Research Explorer.

Machine Learning for Gas and Oil Exploration

Machine Learning for Gas and Oil Exploration

Nordloh, V. A., Roubickova, A. & Brown, N., 3 Sep 2020, ECAI 2020. IOS Press, p. 3009 - 3016 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Health Outcome Prioritization in Alzheimer's Disease: Understanding the Ethical Landscape

Health Outcome Prioritization in Alzheimer's Disease: Understanding the Ethical Landscape

McKeown, A., Turner, A., Angehrn, Z., Gove, D., Ly, A., Nordon, C., Nelson, M., Tochel, C., Mittelstadt, B., Keenan, A., Smith, M. & Singh, I., 21 Jul 2020, (E-pub ahead of print) In: Journal of Alzheimer's Disease.

Research output: Contribution to journalArticlepeer-review

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Building digital workforce capacity and skills for data-intensive science

Building digital workforce capacity and skills for data-intensive science

Barker, M., Dumolyn, B., van Nieuwerburgh, I., Castle, D., Arenas, M., Repanas, K., Casorran, C., Denos, N., Gharsallah, M., Mochmann, I. C., Yoshioka, N., Noh, S-Y., Luyben, K., Thomassen, G., McAllister, D., Ashley, K., Clarke, L., Katz, D. S., Leen, T. K., Teal, T. & 2 others, Hodson, S. & Chue Hong, N., 10 Jul 2020, Organisation for Economic Cooperation and Development (OECD). 63 p. (OECD Science, Technology and Industry Policy Papers; no. 90)

Research output: Book/ReportCommissioned report

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Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython

Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython

Jamieson, M., Brown, N. & Liu, S., 10 Jul 2020, Proceedings of the 19th Python in Science Conference : SciPy 2020. Agarwal, M., Calloway, C., Niederhut, D. & Shupe, D. (eds.). Austin, Texas, p. 97 - 105 9 p. (Proceedings of the Python in Science Conferences; vol. 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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RDA COVID-19 Guidelines and Recommendations

RDA COVID-19 Guidelines and Recommendations

Working Group, RDA. COVID. & Chue Hong, N. P., 30 Jun 2020, Research Data Alliance (RDA). 143 p.

Research output: Book/ReportCommissioned report

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Large scale physical modeling synthesis, parallel computing, and musical experimentation: The NESS Project

Large scale physical modeling synthesis, parallel computing, and musical experimentation: The NESS Project

Bilbao, S., Perry, J., Graham, P., Gray, A., Kavoussanakis, K., Delap, G., Mudd, T., Sassoon, G., Wishart, T. & Young, S., 29 Jun 2020, In: Computer Music Journal. 43, 2-3, p. 31-47

Research output: Contribution to journalArticlepeer-review

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FAIR in practice reference list

FAIR in practice reference list

Hooft, R., Deniz Beyan, O., Chue Hong, N. P., Cozzini, S., Hoffman-Sommer, M., Lembinen, L., Marttila, J. & Teperek, M., 18 Jun 2020

Research output: Non-textual formData set/Database

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Critique software, but understand the constraints it’s written under: Demonising researchers who publish their code discourages openness, say Neil Chue Hong and Simon Hettrick

Critique software, but understand the constraints it’s written under: Demonising researchers who publish their code discourages openness, say Neil Chue Hong and Simon Hettrick

Chue Hong, N. & Hettrick, S., 22 May 2020, Research Professional.

Research output: Contribution to specialist publicationEditorial

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PyOmeroUpload: A Python toolkit for uploading images and metadata to OMERO

PyOmeroUpload: A Python toolkit for uploading images and metadata to OMERO

Hay, J., Troup, E., Clark, I., Pietsch, J., Zielinski, T. & Millar, A. J., 18 May 2020, In: Wellcome Open Research .

Research output: Contribution to journalArticlepeer-review

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Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts

Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts

Filgueira Vicente, R., Grover, C., Terras, M. & Alex, B., 16 May 2020, Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora. Marseille, France: European Language Resources Association (ELRA), p. 24–30 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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