Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (DESSERT, 2019)

An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (ISSPIT, 2019)

Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (DeSE, 2020)

Repeatable determinism using non-random weight initialisations in smart city applications of deep learning. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (J. Reliab. Intell. Environ., 2020)

Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (Sensors, 2021)