Items where Author is "Shenfield, Alex"

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Number of items: 41.

Article

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TENZER, Martina, PISTILLI, Giada, BRANSDEN, Alex and SHENFIELD, Alex (2024). Debating AI in Archaeology: applications, implications, and ethical considerations. Internet Archaeology (67): 8.

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POPOOLA, Olusogo, RODRIGUES, Marcos, MARCHANG, Jims, SHENFIELD, Alex, IKPEHAI, Augustine and POPOOLA, Jumoke (2023). A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: problems, challenges and solutions. Blockchain: Research and Applications: 100178.

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SHINER, Audrey, KISS, Alex, SAEDNIA, Khadijeh, JERZAK, Katarzyna J., GANDHI, Sonal, LU, Fang-I, EMMENEGGER, Urban, FLESHNER, Lauren, LAGREE, Andrew, ALERA, Marie Angeli, BIELECKI, Mateusz, LAW, Ethan, LAW, Brianna, KAM, Dylan, KLEIN, Jonathan, PINARD, Christopher J., SHENFIELD, Alex, SADEGHI-NAINI, Ali and TRAN, William T. (2023). Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning. Genes, 14 (9): 1768.

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CHILDS, Charmaine, NWAIZU, Harriet, VOLOACA, Oana and SHENFIELD, Alex (2023). Segmentation agreement and AI-based feature extraction of cutaneous infrared images of obese abdomen after caesarean section: results from a single training session. Applied Sciences, 13 (6): 3992.

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LAGREE, Andrew, SHINER, Audrey, ALERA, Marie Angeli, FLESHNER, Lauren, LAW, Ethan, LAW, Brianna, LU, Fang-I, DODINGTON, David, GANDHI, Sonal, SLODKOWSKA, Elzbieta A., SHENFIELD, Alex, JERZAK, Katarzyna J., SADEGHI-NAINI, Ali and TRAN, William T. (2021). Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade. Current Oncology, 28 (6), 4298-4316.

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LAGREE, Andrew, MOHEBPOUR, Majidreza, METI, Nicholas, SAEDNIA, Khadijeh, LU, Fang-I., SLODKOWSKA, Elzbieta, GANDHI, Sonal, RAKOVITCH, Eileen, SHENFIELD, Alex, SADEGHI-NAINI, Ali and TRAN, William (2021). A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks. Scientific Reports, 11 (1), p. 8025.

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TRAN, W, LU, F, TABBARAH, S, LAGREE, A, DODINGTON, D, JERZAK, K, GANDHI, S, RAKOVITCH, E and SHENFIELD, Alex (2020). Quantitative Digital Pathology Biomarkers of Neoadjuvant Therapy Response in Breast Cancer (Abstract only). Radiotherapy & Oncology, 152 (S1), S277-S278.

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FAUST, Oliver, BARIKA, Ragab, SHENFIELD, Alex, CIACCIO, Edward J. and ACHARYA, U. Rajendra (2020). Accurate detection of sleep apnea with long short-term memory network based on RR interval signals. Knowledge-Based Systems, p. 106591.

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SHENFIELD, Alex and HOWARTH, Martin (2020). A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults. Sensors, 20 (18), e5112.

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MADRIGAL-GARCIA, Maria Isabel, ARCHER, Dawn, SINGER, Mervyn, RODRIGUES, Marcos, SHENFIELD, Alex and MORENO-CUESTA, Jeronimo (2020). Do temporal changes in facial expressions help identify patients at risk of deterioration in hospital wards? A post hoc analysis of the Visual Early Warning Score study. Critical Care Explorations, 2 (5), e0115.

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FAUST, Oliver, KAREEM, Murtadha, SHENFIELD, Alex, ALI, Ali and ACHARYA, U Rajendra (2020). Validating the robustness of an internet of things based atrial fibrillation detection system. Pattern Recognition Letters, 133, 55-61.

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WAINWRIGHT, Richard and SHENFIELD, Alex (2019). Human activity recognition making use of long short-term memory techniques. Athens Journal of Sciences, 6 (1), 19-34.

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LIAO, Huilian, MILANOVIC, Jovica V., RODRIGUES, Marcos and SHENFIELD, Alex (2018). Voltage sag estimation in sparsely monitored power systems based on deep learning and system area mapping. IEEE Transactions on Power Delivery.

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FAUST, Oliver, SHENFIELD, Alex, KAREEM, Murtadha, SAN, Tan Ru, FUJITA, Hamido and ACHARYA, U. Rajendra (2018). Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. Computers in Biology and Medicine.

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SHENFIELD, Alex, DAY, David and AYESH, Aladdin (2018). Intelligent intrusion detection systems using artificial neural networks. ICT Express.

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MADRIGAL-GARCIA, M, RODRIGUES, Marcos, SHENFIELD, Alex, SINGER, Mervyn and MORENO-CUESTA, Jeronimo (2018). What faces reveal : a novel method to identify patients at risk of deterioration using facial expressions. Critical Care Medicine.

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ROSTAMI, Shahin and SHENFIELD, Alex (2016). A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21 (17), 4963-4979.

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ROSTAMI, Shahin, O'REILLY, Dean, SHENFIELD, Alex and BOWRING, Nicholas (2015). A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection. Information Sciences, 295, 494-520.

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SHENFIELD, Alex, RODRIGUES, Marcos, VALENTINE, D, LIU, D and MORENO-CUESTA, Jeronimo (2015). An improved classifier for mortality prediction in adult critical care admissions. Journal of the Intensive Care Society, 16 (4), p. 118.

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TWIGG, Peter, SIGURNJAK, Stephen, SOUTHALL, Dave and SHENFIELD, Alex (2014). Exploration of the effect of EEG Levels in experienced archers. Measurement and Control, 47 (6), 185-190.

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SHENFIELD, Alex and FLEMING, Peter (2014). Multi-objective evolutionary design of robust controllers on the grid. Engineering Applications of Artificial Intelligence, 27, 17-27.

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SHENFIELD, Alex and FLEMING, P.J. (2013). A Novel Workload Allocation Strategy for Batch Jobs. International Journal of Computing and Network Technology, 1 (1), 1-17.

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SHENFIELD, Alex and RODENBURG, John (2011). Evolutionary determination of experimental parameters for ptychographical imaging. Journal of Applied Physics, 109 (12), p. 124510.

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SHENFIELD, Alex, FLEMING, Peter, KADIRKAMANATHAN, Visakan and ALLAN, Jeff (2010). Optimisation of maintenance scheduling strategies on the grid. Annals of Operations Research, 180 (1), 213-231.

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SHENFIELD, Alex, FLEMING, Peter and ALKAROURI, Muhammad (2007). Computational steering of a multi-objective evolutionary algorithm for engineering design. Engineering Applications of Artificial Intelligence, 20, 1047-1057.

Book Section

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KASTURI, Surya, SHENFIELD, Alex, ROAST, Chris, LE PAGE, Danny and BROOME, Alice (2024). Object Detection in Heritage Archives using a Human-in-Loop Concept. In: NAIK, Nitin, JENKINS, Paul, GRACE, Paul, YANG, Longzhi and PRAJAPAT, Shaligram, (eds.) Advances in Computational Intelligence Systems. Contributions Presented at The 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6-8, 2023, Birmingham, UK. Advances in Intelligent Systems and Computing (1453). Cham, Springer, 170-181.

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REJI, Alan, PRANGGONO, Bernardi, MARCHANG, Jims and SHENFIELD, Alex (2023). Anomaly detection for the internet-of-medical-things. In: 2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 1944-1949.

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WAINWRIGHT, Richard and SHENFIELD, Alex (2023). Machine learning for mortality risk prediction with changing patient demographics. In: 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE.

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SHENFIELD, Alex, KASTURI, Surya and TRAN, William (2022). Accurate nuclei segmentation in breast cancer tumour biopsies. In: 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE.

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BARIKA, R., SHENFIELD, Alex, RAZAGHI, Hajar and FAUST, Oliver (2021). A smart sleep apnea detection service. In: Proceedings of CM 2021. The British Institute of NDT.

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SHENFIELD, Alex, KHAN, Zaheer and AHMADI, Hamed (2020). Deep Learning Meets Cognitive Radio: Predicting Future Steps. In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE.

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SHENFIELD, Alex and ROSTAMI, Shahin (2015). A multi-objective approach to evolving artificial neural networks for coronary heart disease classification. In: 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 1-8. (In Press)

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ROSTAMI, Shahin and SHENFIELD, Alex (2012). CMA-PAES : Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation. In: 12th UK Workshop on Computational Intelligence (UKCI) 2012. IEEE, 1-8.

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SHENFIELD, Alex and FLEMING, Peter (2011). Multi-objective evolutionary design of robust controllers on the grid. In: BITTANTI, Sergio, CENEDESE, Angelo and ZAMPIERI, Sandro, (eds.) Proceedings of the 18th IFAC World Congress, 2011. World Congress (18/1). International Federation of Automatic Control, 14711-14716.

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SHENFIELD, Alex and FLEMING, Peter (2005). A service oriented architecture for decision making in engineering design. In: SLOOT, Peter M A, HOEKSTRA, Alfons G and PRIOL, Thierry, (eds.) Advances in Grid Computing : EGC 2005 : European Grid Conference, Amsterdam, the Netherlands, February 14-16, 2005, Revised Selected Papers. Lecture Notes in Computer Science (3470). Springer.

Conference or Workshop Item

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SHENFIELD, Alex and ROSTAMI, Shahin (2017). Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance. In: CIBCB 2017 : IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Manchester, 23-25 August 2017.

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SHENFIELD, Alex, RODRIGUES, Marcos, MORENO-CUESTA, Jeronimo and NOORELDEEN, Hossam (2017). A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions. In: CIBCB 2017 : IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Manchester, 23-25 August 2017.

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MORENO-CUESTA, Jeronimo, MADRIGAL, Maria, SHENFIELD, Alex and RODRIGUES, Marcos (2016). A novel method for identification of patients at risk of deterioration using FACS. In: ICSSOA-2016 Intensive Care Society State of Art Meeting, London, 5-7 December 2016. (Unpublished)

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ROSTAMI, Shahin, SHENFIELD, Alex, SIGURNJAK, Steve and FAKOREDE, Oluwatoyin (2015). Evaluation of mental workload and familiarity in human computer interaction with integrated development environments using single-channel EEG. In: 26th Annual Workshop of PPIG (2015), Bournemouth University, July 2015.

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DELVES, Peter, MANNING, Warren and SHENFIELD, Alex (2012). A torque vectoring approach to post incident control. In: AVEC 2012 : 11th International Symposium on Advanced Vehicle Control, Seoul, Korea, 9-12 September 2012.

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SHENFIELD, Alex, FLEMING, Peter, KADIRKAMANATHAN, Visakan and ALLAN, Jeff (2007). Optimisation of maintenance scheduling strategies on the grid. In: IEEE Symposium Series on Computational Intelligence (SSCI) 2007, Honolulu, Hawaii, 1-5 April 2007.

This list was generated on Wed Apr 24 20:06:33 2024 UTC.