Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels. - Pamela Johnston; Eyad Elyan; Chrisina Jayne (EANN, 2018)

Spatial Effects of Video Compression on Classification in Convolutional Neural Networks. - Pamela Johnston; Eyad Elyan; Chrisina Jayne (IJCNN, 2018)

A review of digital video tampering: From simple editing to full synthesis. - Pamela Johnston; Eyad Elyan (Digit. Investig., 2019)

Beyond the pixels: learning and utilising video compression features for localisation of digital tampering. - Pamela Johnston (2019)

Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks. - Eyad Elyan; Carlos Francisco Moreno-García; Pamela Johnston (EANN, 2020)

Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. - Carlos Francisco Moreno-García; Pamela Johnston; Bello Garkuwa (IJCNN, 2020)

Video tampering localisation using features learned from authentic content. - Pamela Johnston; Eyad Elyan; Chrisina Jayne (Neural Comput. Appl., 2020)

Face Spoof Detection: An Experimental Framework. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston (EANN, 2021)

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston (Inf. Fusion, 2021)

Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston; Adamu Ali-Gombe (Cogn. Comput., 2022)

Fusion Methods for Face Presentation Attack Detection. - Faseela Abdullakutty; Pamela Johnston; Eyad Elyan (Sensors, 2022)

Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19. - Pamela Johnston; Mark Zarb; Carlos Francisco Moreno-García (FIE, 2023)

Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston (IJCNN, 2023)

Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers. - Sophie Crawford Haynes; Pamela Johnston; Eyad Elyan (Multim. Tools Appl., 2024)