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Items where Author is "Reilly, D"

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Number of items: 10.

Fergus, P, Chalmers, C, MontaƱez, CC, Reilly, D, Lisboa, P and Pineles, B (2020) Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Transactions on Emerging Topics in Computational Intelligence. ISSN 2471-285X

Montenaz, C, Fergus, P, Chalmers, C, Malim, N, Abdulaimma, B, Reilly, D and falciani, F (2020) SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access. ISSN 2169-3536

Taylor, MJ, Kwasnica, V, Reilly, D and Ravindran, S (2019) Game theory modelling of retail marketing discount strategies. Marketing Intelligence and Planning, 37 (5). pp. 555-566. ISSN 0263-4503

Taylor, MJ, Reilly, D and Wren, C (2018) Internet of things support for marketing activities. Journal of Strategic Marketing. ISSN 0965-254X

Taylor, MJ, Baskett, M, Reilly, D and Ravindran, S (2017) Game theory for computer games design. Games and Culture, 14 (7-8). pp. 843-855. ISSN 1555-4139

Taylor, MJ and Reilly, D (2017) Knowledge representation for missing persons investigations. Journal of Systems and Information Technology, 19 (1/2). pp. 138-150. ISSN 1328-7265

Dean, E, Taylor, MJ and Reilly, D (2017) Keeping an Eye. Fire Risk Management Journal. ISSN 1478-3576

Taylor, MJ, Reilly, D and Lempereur, B (2017) An access control management protocol for Internet of things devices. Network Security, 2017 (7). pp. 11-17. ISSN 1353-4858

Reilly, D (2006) A dynamic middleware-based instrumentation framework to assist the understanding of distributed applications. Doctoral thesis, Liverpool John Moores University.

Thompson, S, Fergus, P, Chalmers, C and Reilly, D Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. In: IEEE Explore . (IEEE World Congress on Computational Intelligence (WCCI) 2020, 19-24th July 2020, Virtual Online Conference). (Accepted)

This list was generated on Thu Dec 9 06:24:13 2021 UTC.