Items where Research Group is "Data Science and Statistics

A

Algurashi, Alia and Wang, Wenjia (2019) Hybrid Feature Selection Method for Improving File Fragment Classification. In: Artificial Intelligence XXXVI - 39th SGAI International Conference on Artificial Intelligence, AI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . UNSPECIFIED, pp. 379-391. ISBN 978-3-030-34884-7

Alkhudaydi, Tahani, Reynolds, Daniel, Griffiths, Simon, Zhou, Ji and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2019) An exploration of deep-learning based phenotypic analysis to detect spike regions in field conditions for UK bread wheat. Plant Phenomics, 2019 (July). pp. 1-17. ISSN 2643-6515

Alkhudaydi, Tahani, Zhou, Ji and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2019) SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks. In: Lecture Notes in Computing Science. Artificial Intelligence and Soft Computing . Springer, pp. 3-13. ISBN 978-3-030-20911-7

Alqurashi, Tahani and Wang, Wenjia (2019) Clustering ensemble method. International Journal of Machine Learning and Cybernetics, 10 (6). pp. 1227-1246. ISSN 1868-8071

B

Bakbergenuly, Ilyas, Hoaglin, David and Kulinskaya, Elena (2019) Pitfalls of using the risk ratio in meta‐analysis. Research Synthesis Methods, 10 (3). pp. 398-419. ISSN 1759-2879

Bakbergenuly, Ilyas, Hoaglin, David C. and Kulinskaya, Elena (2019) Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for lognormal data. ArXiv e-prints.

Bakbergenuly, Ilyas, Hoaglin, David C. and Kulinskaya, Elena (2019) Simulation study of estimating between-study variance and overall effect in meta-analyses of mean difference. ArXiv e-prints.

Bakbergenuly, Ilyas, Hoaglin, David C. and Kulinskaya, Elena (2019) Simulation study of estimating between-study variance and overall effect in meta-analysis of odds-ratios. ArXiv e-prints.

Bakbergenuly, Ilyas, Hoaglin, David C. and Kulinskaya, Elena (2019) Simulation study of estimating between-study variance and overall effect in meta-analysis of standardized mean difference. ArXiv e-prints.

Begun, Alexander, Kulinskaya, Elena and Macgregor, Alexander ORCID: https://orcid.org/0000-0003-2163-2325 (2019) Risk-adjusted CUSUM control charts for shared frailty survival models with application to hip replacement outcomes: a study using the NJR dataset. BMC Medical Research Methodology, 19. ISSN 1471-2288

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Dau, Hoang Anh, Bagnall, Anthony, Kamgar, Kaveh, Yeh, Chin-Chia Michael, Zhu, Yan, Gharghabi, Shaghayegh, Ratanamahatan, Chotirat Ann and Keogh, Eamonn (2019) The UCR Time Series Archive. IEEE/CAA Journal of Automatica Sinica, 6 (6). pp. 1293-1305. ISSN 2329-9266

E

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 (2019) Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing. In: International Conference on Pattern Recognition Applications and Methods 2019, 2019-02-19 - 2019-02-21.

Edo-Osagie, Oduwa, Smith, Gillian, Lake, Iain ORCID: https://orcid.org/0000-0003-4407-5357, Edeghere, Obaghe and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2019) Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance. PLoS One, 14 (7). ISSN 1932-6203

Edo-Osagie, Osagioduwa and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2019) Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring. In: International Work-Conference on Artificial Neural Networks, 2019-06-12 - 2019-06-14.

F

Flynn, Michael and Bagnall, Anthony (2019) Classifying Flies Based on Reconstructed Audio Signals. In: 20th International Conference on Intelligent Data Engineering and Automated Learning. Lecture Notes in Computer Science . Springer, pp. 249-258. ISBN 978-3-030-33616-5

Flynn, Michael, Large, James and Bagnall, Anthony (2019) The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy. In: International Conference on Hybrid Artificial Intelligence Systems. Lecture Notes in Computer Science . Springer, pp. 381-392. ISBN 978-3-030-29858-6

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Gitsels, Lisanne, Kulinskaya, Elena and Wright, Nigel (2019) How medical advances and health interventions will shape future longevity. British Actuarial Journal, 24. pp. 1-17. ISSN 2044-0456

Gitsels, Lisanne, Kulinskaya, Elena and Wright, Nigel (2019) How medical advances and health interventions will shape future longevity ‐ Abstract of the Edinburgh Discussion. British Actuarial Journal, 24. ISSN 2044-0456

Gitsels, Lisanne A., Kulinskaya, Elena, Bakbergenuly, Ilyas and Steel, Nicholas ORCID: https://orcid.org/0000-0003-1528-140X (2019) Optimal SBP targets in routine clinical care. Journal of Hypertension, 37 (4). 837–843. ISSN 0263-6352

Guijo-Rubio, David, Gutiérrez, Pedro A., Tavenard, Romain and Bagnall, Anthony (2019) A hybrid approach to classification with shapelets. In: 20th International Conference on Intelligent Data Engineering and Automated Learning. Lecture Notes in Computer Science . Springer, pp. 137-144. ISBN 978-3-030-33606-6

K

Koricheva, Julia and Kulinskaya, Elena (2019) Temporal instability of evidence base: A threat to policy making? Trends in Ecology and Evolution, 34 (10). pp. 895-902. ISSN 0169-5347

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Large, James and Bagnall, Anthony (2019) Mixing hetero- and homogeneous models in weighted ensembles. In: 20th International Conference on Intelligent Data Engineering and Automated Learning. Lecture Notes in Computer Science . Springer, pp. 129-136. ISBN 978-3-030-33606-6

Large, James, Bagnall, Anthony, Malinowski, Simon and Tavenard, Romain (2019) On time series classification with dictionary-based classifiers. Intelligent Data Analysis, 23 (5). pp. 1073-1089. ISSN 1088-467X

Large, James, Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 and Bagnall, Anthony (2019) A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. Data Mining and Knowledge Discovery, 33 (6). pp. 1674-1709. ISSN 1384-5810

Large, James, Southam, Paul and Bagnall, Anthony (2019) Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms? In: International Conference on Hybrid Artificial Intelligence Systems. Lecture Notes in Computer Science . Springer, pp. 50-60. ISBN 978-3-030-29858-6

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Middlehurst, Matthew, Vickers, William and Bagnall, Anthony (2019) Scalable Dictionary Classifiers for Time Series Classification. In: 20th International Conference on Intelligent Data Engineering and Automated Learning. Lecture Notes in Computer Science . Springer, pp. 11-19. ISBN 978-3-030-33606-6

N

Nikoloulopoulos, Aristidis K. ORCID: https://orcid.org/0000-0003-0853-0084 (2019) A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests. Statistical Methods in Medical Research, 28 (10-11). pp. 3286-3300. ISSN 0962-2802

Nikoloulopoulos, Aristidis K. ORCID: https://orcid.org/0000-0003-0853-0084 and Moffatt, Peter (2019) Coupling couples with copulas: analysis of assortative matching on risk attitude. Economic Inquiry, 57 (1). pp. 654-666. ISSN 0095-2583

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Oastler, George and Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 (2019) A Significantly Faster Elastic-Ensemble for Time-Series Classification. In: Intelligent Data Engineering and Automated Learning – IDEAL 2019. Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning . Springer, pp. 446-453. ISBN 978-3-030-33606-6

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Vickers, William, Milner, Ben, Lee, Robert and Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 (2019) A comparison of machine learning methods for detecting right whales from autonomous surface vehicles. In: UNSPECIFIED.

Vickers, William, Milner, Ben, Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 and Lee, Robert (2019) Detecting right whales from autonomous surface vehicles using RNNs and CNNs. In: UNSPECIFIED.

W

Wessels, Pieter, Moran, Nick, Johnston, Ali and Wang, Wenjia (2019) Hybrid expert ensembles for identifying unreliable data in citizen science. Engineering Applications of Artificial Intelligence, 81. pp. 200-212. ISSN 0952-1976