Items where Research Group is "Data Science and Statistics

Group by: Creators | Item Type | Status | No Grouping
Number of items: 20.

Al Ghamdi, Mostafa, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132 and Wang, Wenjia (2020) Weighted Ensemble Methods for Predicting Train Delays. In: Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . UNSPECIFIED, 978-3-030-58798-7, pp. 586-600. ISBN 9783030587987

Alahamade, Wedad, Lake, Iain ORCID: https://orcid.org/0000-0003-4407-5357, Reeves, Claire E. ORCID: https://orcid.org/0000-0003-4071-1926 and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2020) Clustering Imputation for Air Pollution Data. In: Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, Cham, pp. 585-597. ISBN 978-3-030-61705-9

Aleryani, Aliya, Wang, Wenjia and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2020) Multiple Imputation Ensembles (MIE) for dealing with missing data. SN Computer Science, 1 (3). ISSN 2661-8907

Bagnall, Tony, Flynn, Michael, Large, James and Middlehurst, Matthew (2020) On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). In: Lecture Notes in Computer Science. Springer, pp. 3-18. ISBN 978-3-030-65741-3

Bakbergenuly, Ilyas, Hoaglin, David and Kulinskaya, Elena (2020) Estimation in meta-analyses of mean difference and standardized mean difference. Statistics in Medicine, 39 (2). pp. 171-191. ISSN 0277-6715

Bakbergenuly, Ilyas, Hoaglin, David and Kulinskaya, Elena (2020) Methods for estimating between-study variance and overall effect in meta-analysis of odds-ratios. Research Synthesis Methods, 11 (3). pp. 426-442. ISSN 1759-2879

Begun, Alexander, MacGregor, Alexander J. ORCID: https://orcid.org/0000-0003-2163-2325, Pchejetski, Dmitri and Kulinskaya, Elena (2020) Dynamic early identification of hip replacement implants with high revision rates. Study based on the NJR data from UK during 2004-2012. PLoS One, 15 (8). ISSN 1932-6203

Edo-Osagie, Oduwa, De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826, Lake, Iain ORCID: https://orcid.org/0000-0003-4407-5357 and Edeghere, Obaghe (2020) An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis. In: Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, Cham, pp. 160-171. ISBN 978-3-030-61705-9

Edo-Osagie, Osagioduwa, De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826, Lake, Iain ORCID: https://orcid.org/0000-0003-4407-5357 and Edeghere, Obaghe (2020) A scoping review of the use of Twitter for public health research. Computers in Biology and Medicine, 122. ISSN 0010-4825

Gharghabi, Shaghayegh, Imani, Shima, Bagnall, Anthony, Darvishzadeh, Amirali and Keogh, Eamonn (2020) An ultra-fast time series distance measure to allow data mining in more complex real-world deployments. Data Mining and Knowledge Discovery, 34 (4). 1104–1135. ISSN 1384-5810

Guijo-Rubio, David, Gutierrez, Pedro, Bagnall, Tony and Hervás-Martínez, César (2020) Time series ordinal classification via shapelets. In: International Joint Conference on Neural Networks (IJCNN). Proceedings of the International Joint Conference on Neural Networks . UNSPECIFIED, pp. 1-8. ISBN 9781728169262

Guijo-Rubio, David, Gutiérrez, Pedro Antonio, Bagnall, Tony and Hervás-Martínez, César (2020) Ordinal Versus Nominal Time Series Classification. In: Lecture Notes in Computer Science. UNSPECIFIED, pp. 19-29. ISBN 978-3-030-65741-3

Khampuengson, Thakolpat, Bagnall, Tony and Wang, Wenjia (2020) Developing Ensemble Methods for Detecting Anomalies in Water Level Data. In: The 22nd International Conference on Big Data Analytics and Knowledge Discovery. Springer, SVK, pp. 145-151. ISBN 9783030637989

Kulinskaya, Elena, Bakbergenuly, Ilyas, Gitsels, Lisanne and Wright, Nigel (2020) Calculation of changes in life expectancy based on proportional hazards model of an intervention. Insurance Mathematics and Economics, 93. pp. 27-35.

Kulinskaya, Elena, Dollinger, Michael B. and Bjørkestøl, Kirsten (2020) Erratum to: On the moments of Cochran's Q statistic under the null hypothesis, with application to the meta-analysis of risk difference (Res Syn Meth., (2011), 2, (254-270), 10.1002/jrsm.54). Research Synthesis Methods, 11 (6). p. 920. ISSN 1759-2887

Nikoloulopoulos, Aristidis K ORCID: https://orcid.org/0000-0003-0853-0084 (2020) Weighted scores estimating equations and CL1 information criteria for longitudinal ordinal response. Journal of Statistical Computation and Simulation, 90 (11). pp. 2002-2022. ISSN 0094-9655

Nikoloulopoulos, Aristidis K ORCID: https://orcid.org/0000-0003-0853-0084 (2020) An extended trivariate vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable outcomes. International Journal of Biostatistics, 16 (2). ISSN 1557-4679

Nikoloulopoulos, Aristidis K ORCID: https://orcid.org/0000-0003-0853-0084 (2020) A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects. Statistical Methods in Medical Research, 29 (10). pp. 2988-3005. ISSN 0962-2802

Strickson, Benjamin and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2020) Legal Judgement Prediction for UK Courts. In: UNSPECIFIED.

Veevers, Ruth, Cawley, Gavin ORCID: https://orcid.org/0000-0002-4118-9095 and Hayward, Steven ORCID: https://orcid.org/0000-0001-6959-2604 (2020) Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression. BMC Bioinformatics, 21. ISSN 1471-2105

This list was generated on Wed Jul 17 21:51:35 2024 UTC.