Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin. - Adam J. Hall; Michael J. Chappell; John A. D. Aston; Stephen A. Ward (Comput. Methods Programs Biomed., 2013)

Reprint of "Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin". - Adam J. Hall; Michael J. Chappell; John A. D. Aston; Stephen A. Ward (Comput. Methods Programs Biomed., 2014)

Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System. - Adam James Hall; Amir Hussain 001; M. Guftar Shaikh (BICS, 2016)

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. - Adam James Hall; Nikolaos Pitropakis; William J. Buchanan; Naghmeh Moradpoor (IEEE BigData, 2018)

Privacy-preserving Surveillance Methods using Homomorphic Encryption. - William Bowditch; Will Abramson; William J. Buchanan; Nikolaos Pitropakis; Adam J. Hall (ICISSP, 2020)

A Distributed Trust Framework for Privacy-Preserving Machine Learning. - Will Abramson; Adam James Hall; Pavlos Papadopoulos; Nikolaos Pitropakis; William J. Buchanan (TrustBus, 2020)

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. - Nick Angelou; Ayoub Benaissa; Bogdan Cebere; William Clark; Adam James Hall; Michael A. Hoeh; Daniel Liu; Pavlos Papadopoulos; Robin Roehm; Robert Sandmann; Phillipp Schoppmann; Tom Titcombe (CoRR, 2020)

Insider Threat Detection Using Supervised Machine Learning Algorithms on an Extremely Imbalanced Dataset. - Naghmeh Moradpoor Sheykhkanloo; Adam J. Hall (Int. J. Cyber Warf. Terror., 2020)

Energy demand forecasting of buildings using random neural networks. - Jawad Ahmad 001; Ahsen Tahir; Hadi Larijani; Fawad Ahmed; Syed Aziz Shah; Adam James Hall; William J. Buchanan (J. Intell. Fuzzy Syst., 2020)

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. - Daniele Romanini; Adam James Hall; Pavlos Papadopoulos; Tom Titcombe; Abbas Ismail; Tudor Cebere; Robert Sandmann; Robin Roehm; Michael A. Hoeh (CoRR, 2021)

Practical Defences Against Model Inversion Attacks for Split Neural Networks. - Tom Titcombe; Adam J. Hall; Pavlos Papadopoulos; Daniele Romanini (CoRR, 2021)

Syft 0.5: A Platform for Universally Deployable Structured Transparency. - Adam James Hall; Madhava Jay; Tudor Cebere; Bogdan Cebere; Koen Lennart van der Veen; George Muraru; Tongye Xu; Patrick Cason; William Abramson; Ayoub Benaissa; Chinmay Shah; Alan Aboudib; et al. (CoRR, 2021)

Privacy and Trust Redefined in Federated Machine Learning. - Pavlos Papadopoulos; Will Abramson; Adam J. Hall; Nikolaos Pitropakis; William J. Buchanan (Mach. Learn. Knowl. Extr., 2021)