Items where Author is "Shenfield, Alex"

RASHVAND, Mahdi, PATERNA, Giuliana, LAVEGLIA, Sabina, ZHANG, Hongwei, SHENFIELD, Alex, GIOIA, Tania, ALTIERI, Giuseppe, DI RENZO, Giovanni Carlo and GENOVESE, Francesco (2025). Quality Detection of Common Beans Flour Using Hyperspectral Imaging Technology: Potential of Machine Learning and Deep Learning. Journal of Food Composition and Analysis, 142: 107424. [Article]

PORTSMOUTH, Bryony, SHENFIELD, Alex, ZHANG, Hongwei, JOHNSTON, Amanda and LIMB, Jessica (2024). Artificial Intelligence and the food sector: a golden opportunity for growth. Food Science and Technology, 38 (4), 32-35. [Article]

HAVERSON, Kristian, SMITH, Robin, SHENFIELD, Alex, FORTULAN, Raphael, ĆWIOK, M, DOMINIK, W, FIJAŁKOWSKA, M, FILA, M, JANAS, Z, KALINOWSKI, A, KIERZKOWSKI, K, KUICH, M, MAZZOCCHI, C, OKLIŃSKI, W, ZAREMBA, M, GAI, M, SCHWEITZER, D.K., STERN, S.R., FINCH, S, FRIMAN-GAYER, U, JOHNSON, S.R., KOWALEWSKI, T.M., BALABANSKI, D.L., MATEI, C, ROTARU, A, ALLEN, R.A.M., GRIFFITHS, M.R., KOKALOVA, Tz, PIRRIE, S, SANTA RITA ALCIBIA, P and WHELDON, C (2024). A ResNeXt50-based convolution neural network for nuclear reaction classification in an active target TPC detector. Il Nuovo Cimento, 48 (1): 17. [Article]

POPOOLA, Olusogo, RODRIGUES, Marcos, MARCHANG, Jims, SHENFIELD, Alex, IKPEHAI, Augustine and POPOOLA, Jumoke (2024). An Optimized Hybrid Encryption Framework for Smart Home Healthcare: Ensuring Data Confidentiality and Security. Internet of Things; Engineering Cyber Physical Human Systems, 27: 101314. [Article]

NIKZADFAR, Mehrad, RASHVAND, Mahdi, ZHANG, Hongwei, SHENFIELD, Alex, GENOVESE, Francesco, ALTIERI, Giuseppe, MATERA, Attilio, TORNESE, Iolanda, LAVEGLIA, Sabina, PATERNA, Giuliana, LOVALLO, Carmela, MAMMADOV, Orkhan, AYKANAT, Burcu and DI RENZO, Giovanni Carlo (2024). Hyperspectral Imaging Aiding Artificial Intelligence: A Reliable Approach for Food Qualification and Safety. Applied Sciences, 14 (21): 9821. [Article]

POPOOLA, Olusogo, RODRIGUES, Marcos, MARCHANG, Jims, SHENFIELD, Alex, IKPEHAI, Augustine and POPOOLA, Jumoke (2024). A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: problems, challenges and solutions. Blockchain: Research and Applications, 5 (2): 100178. [Article]

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

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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. [Article]

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

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. [Article]

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

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. [Article]

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. [Article]

OLUSANYA, Oyebanji, POPOOLA, Olusogo and SHENFIELD, Alex (2024). Cardiovascular Disease Prediction Using Super Learner. [Pre-print] (Unpublished) [Pre-print]

LWELE, Emmanuel and SHENFIELD, Alex (2024). AI-Based Surrogate Models of Digital Twins for Industrial Processes. In: 2024 IEEE Industrial Electronics and Applications Conference (IEACon). IEEE, 89-94. [Book Section]

KASTURI, Surya, SHENFIELD, Alex and ROAST, Christopher (2024). User insights shaping machine learning applied to archives. In: CONATI, Cristina, TORRE, Ilaria and VOLPE, Gualtiero, (eds.) AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces. ACM. [Book Section]

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. [Book Section]

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. [Book Section]

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. [Book Section]

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. [Book Section]

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. [Book Section]

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. [Book Section]

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) [Book Section]

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. [Book Section]

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. [Book Section]

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. [Book Section]

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. [Conference or Workshop Item]

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. [Conference or Workshop Item]

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) [Conference or Workshop Item]

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. [Conference or Workshop Item]

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. [Conference or Workshop Item]

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. [Conference or Workshop Item]