Publications | The School of Natural and Computing Sciences

Machine learning for analysis of real nuclear plant data in the frequency domain

2022

Kollias, S., Yu, M., Wingate, J., Durrant, A., Leontidis, G., Alexandridis, G., Stafylopatis, A., Mylonakis, A., Vinai, P., Demaziere, C.

Annals of Nuclear Energy, vol. 177, 109293

Contributions to Journals: Articles

Digital Object Identifier: https://doi.org/10.1016/j.anucene.2022.109293
Open Access: http://aura.abdn.ac.uk/bitstream/2164/18771/2/Kollias_etal_ANE_Machine_Learning_for_VOR.pdf

AI-enabled Safe and Efficient Food Supply Chain

2022

Kollias, S., Ye, X., Yu, M., Duan, W., Leontidis, G., Swainson, M., Pearson, S.

Research Excellence Framework (REF) 2021. 5 pages.

Other Contributions: Other Contributions

Online: https://results2021.ref.ac.uk/impact/6399af09-1465-4629-bd02-f46b90077dc6?page=1
Open Access: http://aura.abdn.ac.uk/bitstream/2164/18757/1/Impact_case_study_University_of_Lincoln_11_AI_enabled_Safe_and_Efficient_.pdf

Learning with Capsules: A Survey

2022

Ribeiro, F. D. S., Duarte, K., Everett, M. A., Leontidis, G., Shah, M.

Working Papers and Discussion Papers

Digital Object Identifier: https://doi.org/10.48550/arXiv.2206.02664

Grading of soft tissues sarcomas using radiomics models:: Choice of imaging methods and comparison with conventional visual analysis

2022

Chen, B., Steinberger, O., Fenioux, R., Duverger, Q., Lambrou, T., Dodin, G., Blum, A., Teixeira, P. A. G.

Research in Diagnostic and Interventional Imaging, vol. 2, 100009

Contributions to Journals: Articles

Digital Object Identifier: https://doi.org/10.1016/j.redii.2022.100009

Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception

2022

Hua, Y., Yi, D.

IEEE Transactions on Industrial Informatics, vol. 18, no. 5, pp. 3248 - 3255

Contributions to Journals: Articles

Digital Object Identifier: https://doi.org/10.1109/TII.2021.3107785
Open Access: http://aura.abdn.ac.uk/bitstream/2164/21543/1/Hua_etal_TII_Synthetic_To_Realistic_AAM.pdf
Additional Links: View publication in Scopus; https://pure.roehampton.ac.uk/portal/en/publications/21eae5f9-a618-4c35-8408-140b5f9fe065

Graph Neural Networks for Reservoir Level Forecasting and Draught Identification

2022

Durrant, A., Haro Monteagudo, D., Leontidis, G.

EGU General Assembly 2022

Contributions to Conferences: Abstracts

Digital Object Identifier: https://doi.org/10.5194/egusphere-egu22-3946

Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY): Protocol for the Development of a Clinical Prediction Model

2022

Farrow, L., Ashcroft, G. P., Zhong, M., Anderson, L.

JMIR Research Protocols, vol. 11, no. 5, e37092

Contributions to Journals: Articles

Digital Object Identifier: https://doi.org/10.2196/37092
Open Access: http://aura.abdn.ac.uk/bitstream/2164/18857/1/Farrow_et_al_Using_Artificial_JMIR_vor.pdf
Additional Links: View publication in Scopus

OptDesign: Identifying Optimum Design Strategies in Strain Engineering for Biochemical Production

2022

Jiang, S., Otero Muras, I., Banga, J. R., Wang, Y., Kaiser, M., Krasnogor, N.

ACS Synthetic Biology, vol. 11, no. 4, pp. 1531–1541

Contributions to Journals: Articles

Digital Object Identifier: https://doi.org/10.1021/acssynbio.1c00610
Open Access: http://aura.abdn.ac.uk/bitstream/2164/19759/2/Jiang_etal_ACSSB_OptDesign_Identifying_Optimum_AAM.pdf; http://aura.abdn.ac.uk/bitstream/2164/19759/1/Jiang_etal_SB_OptDesign_Identifying_Optimum_VoR.pdf

Neural Connectivity Underlying Reward and Emotion-Related Processing: Evidence From a Large-Scale Network Analysis

2022

Yankouskaya, A., Denholm-Smith, T., Yi, D., Greenshaw, A., Cao, B., Sui, J.

Frontiers in Systems Neuroscience, vol. 16, 833625

Contributions to Journals: Articles

Online: https://www.frontiersin.org/article/10.3389/fnsys.2022.833625
Digital Object Identifier: https://doi.org/10.3389/fnsys.2022.833625
Open Access: http://aura.abdn.ac.uk/bitstream/2164/18379/1/Yankouskaya_etal_FN_Neural_connectivity_Underlying_VOR.pdf

MDA-Unet: A Multi-Scale Dilated Attention U-Net for Medical Image Segmentation

2022

Amer, A., Lambrou, T., Ye, X.

Applied Sciences, vol. 12, no. 7, 3676

Contributions to Journals: Articles

Digital Object Identifier: https://doi.org/10.3390/app12073676
Open Access: http://aura.abdn.ac.uk/bitstream/2164/18368/1/Amer_AS_MDA_Unet_A_VoR.pdf