Research output per year
Research output per year
Fingerprint
Dive into the research topics where Anna Roubickova is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration
Brown, N., Roubickova, A., Lampaki, I., MacGregor, L., Ellis, M. & Vera de Newton, P., 25 Oct 2020, In: Concurrency and Computation: Practice and Experience. 32, 20, 19 p., e5655.Research output: Contribution to journal › Special issue › peer-review
Open AccessFile -
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 proceeding › Conference contribution
Open AccessFile -
defoe: A Spark-based Toolbox for Analysing Digital Historical Textual Data
Filgueira Vicente, R., Jackson, M., Roubickova, A., Krause, A., Ahnert, R., Hauswedell, T., Nyhan, J., Beavan, D., Hobson, T., Coll Ardanuy, M., Colavizza, G., Hetherington, J. & Terras, M., 19 Mar 2020, 2019 IEEE 15th International Conference on e-Science (e-Science). Institute of Electrical and Electronics Engineers (IEEE), p. 235-242 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Using machine learning to reduce ensembles of geological models for oil and gas exploration
Roubickova, A., Brown, N., Brown, O., MacGregor, L. & Stewart, M., 17 Nov 2019, (E-pub ahead of print) 2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5). Institute of Electrical and Electronics Engineers (IEEE), p. 42-49 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile