Items where Research Group is "Data Science and AI

A

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 (2022) A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation. Neurocomputing, 490. pp. 229-245. ISSN 0925-2312

Alkhudaydi, Tahani and De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 (2022) Counting spikelets from infield wheat crop images using fully convolutional networks. Neural Computing and Applications, 34 (20). 17539–17560. ISSN 0941-0643

Alyahyan, Saleh and Wang, Wenjia (2022) Decision level ensemble method for classifying multi-media data. Wireless Networks, 28 (3). 1219–1227. ISSN 1022-0038

C

Chutoo, Padma, Kulinskaya, Elena, Bakbergenuly, Ilyas, Steel, Nicholas ORCID: https://orcid.org/0000-0003-1528-140X, Pchejetski, Dmitri and Brown, Bradley (2022) Long term survival after a first transient ischaemic attack in England: A retrospective matched cohort study. Journal of Stroke & Cerebrovascular Diseases, 31 (9). ISSN 1052-3057

D

De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826, Nawongs, Kathapet, Dainty, Jack R. ORCID: https://orcid.org/0000-0002-0056-1233 and Macgregor, Alexander ORCID: https://orcid.org/0000-0003-2163-2325 (2022) The use of clustering to understand disease progression in Rheumatoid Arthritis. In: IEEE MetroXRAINE 2022. 2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings . The Institute of Electrical and Electronics Engineers (IEEE), Rome, pp. 444-448. ISBN 978-1-6654-8573-9

E

Eze, Onyedikachi, Guile, Geoffrey and Wang, Wenjia (2022) Detecting the Faults of Subsea Power Cables of Wind Farms with Boosting Ensemble Methods. In: Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). ICECCME, pp. 2492-2497.

F

Fearne, Andrew ORCID: https://orcid.org/0000-0003-4910-046X, Borzino, Natalia, De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826, Moffatt, Peter and Robbins, Margaret (2022) Using supermarket loyalty card data to measure the differential impact of the UK soft drink sugar tax on buyer behaviour. Journal of Agricultural Economics, 73 (2). pp. 321-337. ISSN 0021-857X

K

Khampuengson, Thakolpat and Wang, Wenjia (2022) Deep reinforcement learning ensemble for detecting anomaly in telemetry water level data. Water, 14 (16). ISSN 2073-4441

L

Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 and Oastler, George (2022) TS-QUAD: A Smaller Elastic Ensemble For Time Series Classification. In: 3rd International Conference on Pattern Recognition and Artificial Intelligence, 2022-06-01 - 2022-06-03, Campus des Cordeliers.

M

Milner, Ben, Wang, Wenjia, Websdale, Danny, Gutierrez, Francisco and Dowdeswell, Richard (2022) The Potential of Artificial Intelligence in Phase-Measuring Bathymetric Sonar Data Processing. In: Mediterranean and Black Sea Hydrographic Conference No 23, 2022-03-29 - 2022-04-01.

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Pearson, Connor, De La Iglesia, Beatriz ORCID: https://orcid.org/0000-0003-2675-5826 and Sami, Saber (2022) Detecting Cognitive Decline Using a Novel Doodle-Based Neural Network. In: 2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings. 2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings . The Institute of Electrical and Electronics Engineers (IEEE), ITA, pp. 99-103. ISBN 9781665485746

W

Wood, Justin and Wang, Wenjia (2022) Creating Variant Features to Enhance Covid-19 Predictions with Machine Learning Ensemble.