A Service Oriented Architecture for Decision Making in Engineering Design. - Alex Shenfield; Peter J. Fleming (EGC, 2005)

Computational steering of a multi-objective evolutionary algorithm for engineering design. - Alex Shenfield; Peter J. Fleming; Muhammad Alkarouri (Eng. Appl. Artif. Intell., 2007)

Optimisation of maintenance scheduling strategies on the grid. - Alex Shenfield; Peter J. Fleming; Visakan Kadirkamanathan; Jeff Allan (Ann. Oper. Res., 2010)

CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation. - Shahin Rostami; Alex Shenfield (UKCI, 2012)

Multi-objective evolutionary design of robust controllers on the grid. - Alex Shenfield; Peter J. Fleming (Eng. Appl. Artif. Intell., 2014)

A multi objective approach to evolving artificial neural networks for coronary heart disease classification. - Alex Shenfield; Shahin Rostami (CIBCB, 2015)

Evaluation of Mental Workload and Familiarity in Human Computer Interaction with Integrated Development Environments using Single-Channel EEG. - Shahin Rostami; Alex Shenfield; Stephen Sigurnjak; Oluwatoyin Fakorede (PPIG, 2015)

A novel preference articulation operator for the Evolutionary Multi-Objective Optimisation of classifiers in concealed weapons detection. - Shahin Rostami; Dean O'Reilly; Alex Shenfield; Nicholas J. Bowring (Inf. Sci., 2015)

Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance. - Alex Shenfield; Shahin Rostami (CIBCB, 2017)

A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions. - Alex Shenfield; Marcos Rodrigues; Hossam Nooreldeen; Jeronimo Moreno-Cuesta (CIBCB, 2017)

A multi-tier adaptive grid algorithm for the evolutionary multi-objective optimisation of complex problems. - Shahin Rostami; Alex Shenfield (Soft Comput., 2017)

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals. - Oliver Faust; Alex Shenfield; Murtadha Kareem; Ru-San Tan; Hamido Fujita; U. Rajendra Acharya (Comput. Biol. Medicine, 2018)

Intelligent intrusion detection systems using artificial neural networks. - Alex Shenfield; David Day; Aladdin Ayesh (ICT Express, 2018)

Deep Learning Meets Cognitive Radio: Predicting Future Steps. - Alex Shenfield; Zaheer Khan 001; Hamed Ahmadi (VTC Spring, 2020)

Validating the robustness of an internet of things based atrial fibrillation detection system. - Oliver Faust; Murtadha Kareem; Alex Shenfield; Ali Ali; U. Rajendra Acharya (Pattern Recognit. Lett., 2020)

A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults. - Alex Shenfield; Martin Howarth (Sensors, 2020)

Accurate detection of sleep apnea with long short-term memory network based on RR interval signals. - Oliver Faust; Ragab Barika; Alex Shenfield; Edward J. Ciaccio; U. Rajendra Acharya (Knowl. Based Syst., 2021)

Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies. - Surya Kasturi; William T. Tran; Alex Shenfield (CIBCB, 2022)

Machine learning for mortality risk prediction with changing patient demographics. - Richard Wainwright; Alex Shenfield (CIBCB, 2023)

Anomaly Detection for the Internet-of-Medical-Things. - Alan Reji; Bernardi Pranggono; Jims Marchang; Alex Shenfield (ICC Workshops, 2023)

Object Detection in Heritage Archives Using a Human-in-Loop Concept. - Surya Kasturi; Alex Shenfield; Chris Roast; Danny Le Page; Alice Broome (UKCI, 2023)

User Insights shaping Machine Learning applied to Archives. - Surya Kasturi; Alex Shenfield; Christopher Roast (AVI, 2024)

An optimized hybrid encryption framework for smart home healthcare: Ensuring data confidentiality and security. - Olusogo Popoola; Marcos A. Rodrigues 001; Jims Marchang; Alex Shenfield; Augustine Ikpehai; Jumoke Popoola (Internet Things, 2024)