Items where Research Group is "Data Science and Statistics

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Aleryani, Aliya, Wang, Wenjia and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2018) Dealing with Missing Data and Uncertainty in the Context of Data Mining. In: Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems . Springer, pp. 289-301. ISBN 978-3-319-92638-4

Alhadreti, Obead and Mayhew, Pam (2018) Are two pairs of eyes better than one? A comparison of concurrent think-aloud and co-participation methods in usability testing. Journal of Usability Studies, 13 (4). pp. 177-195. ISSN 1931-3357

Alhadreti, Obead and Mayhew, Pam (2018) Rethinking thinking aloud: A comparison of three think-aloud protocols. In: CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), CAN, pp. 1-12. ISBN 978-1-4503-5620-6

Alharbi, Najmah, Zhou, Ji and Wang, Wenjia (2018) Automatic Counting of Wheat Spikes from Wheat Growth Images. In: 7th International Conference on Pattern Recognition Applications and Methods. SciTePress – Science and Technology Publications, PRT, pp. 346-355. ISBN 978-989-758-276-9

Alyahyan, Saleh and Wang, Wenjia (2018) Generalised Decision Level Ensemble Method for Classifying Multi-media Data. In: SGAI 2018: Artificial Intelligence XXXV. Springer, GBR, pp. 326-339. ISBN 978-3-030-04190-8

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Bakbergenuly, Ilyas and Kulinskaya, Elena (2018) Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study. BMC Medical Research Methodology, 18. ISSN 1471-2288

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Dau, Hoang Anh, Silva, Diego Furtado, Petitjean, Francois, Forestier, Germain, Bagnall, Anthony, Mueen, Abdullah and Keogh, Eamonn (2018) Optimizing dynamic time warping’s window width for time series data mining applications. Data Mining and Knowledge Discovery, 32 (4). 1074–1120. ISSN 1384-5810

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Gharghabi, Shaghayegh, Imani, Shima, Bagnall, Anthony, Darvishzadeh, Amirali and Keogh, Eamonn (2018) Matrix Profile XII: MPDist: A Novel Time Series Distance Measure to allow Data Mining in more Challenging Scenarios. In: IEEE International Conference on Data Mining. UNSPECIFIED, pp. 965-970.

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Kulinskaya, Elena and Dollinger, Michael B. (2018) Contribution to the discussion of “When should meta‐analysis avoid making hidden normality assumptions?”. pp. 1066-1067.

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Large, James, Kemsley, E Kate, Wellner, Nikolaus, Goodall, Ian and Bagnall, Anthony (2018) Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning. In: PAKDD 2018: Advances in Knowledge Discovery and Data Mining. Springer, AUS, pp. 298-309. ISBN 978-3-319-93033-6

Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941, Taylor, Sarah and Bagnall, Anthony (2018) Time series classification with HIVE-COTE: The hierarchical vote collective of transformation-based ensembles. ACM Transactions on Knowledge Discovery from Data, 12 (5). ISSN 1556-4681

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Nikoloulopoulos, Aristidis K. ORCID: https://orcid.org/0000-0003-0853-0084 (2018) Hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests. Statistical Methods in Medical Research, 27 (8). pp. 2540-2553. ISSN 0962-2802

Nikoloulopoulos, Aristidis K. ORCID: https://orcid.org/0000-0003-0853-0084 (2018) On composite likelihood in bivariate meta-analysis of diagnostic test accuracy studies. AStA Advances in Statistical Analysis, 102 (2). pp. 211-227. ISSN 1863-8171