Pamela Johnston

15 papers B 3C 4Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
On the Impact of Greyscale ImageNet Pre-training for Chest X-Ray Model Transferability.
IDEAL (1)
Sophie Crawford Haynes, Pamela Johnston, Eyad Elyan
2024 J jnl
Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers.
Multim. Tools Appl.
Sophie Crawford Haynes, Pamela Johnston, Eyad Elyan
2023 C conf
Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19.
FIE
Pamela Johnston, Mark Zarb, Carlos Francisco Moreno-García
2023 B conf
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection.
IJCNN
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston
2022 J jnl
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.
Cogn. Comput.
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston, Adamu Ali-Gombe
2022 J jnl
Fusion Methods for Face Presentation Attack Detection.
Sensors
Faseela Abdullakutty, Pamela Johnston, Eyad Elyan
2021 J jnl
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods.
Inf. Fusion
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston
2021 C conf
Face Spoof Detection: An Experimental Framework.
EANN
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston
2020 B conf
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks.
IJCNN
Carlos Francisco Moreno-García, Pamela Johnston, Bello Garkuwa
2020 C conf
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks.
EANN
Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston
2020 J jnl
Video tampering localisation using features learned from authentic content.
Neural Comput. Appl.
Pamela Johnston, Eyad Elyan, Chrisina Jayne
2019 J jnl
A review of digital video tampering: From simple editing to full synthesis.
Digit. Investig.
Pamela Johnston, Eyad Elyan
2019 — —
Beyond the pixels: learning and utilising video compression features for localisation of digital tampering.
Pamela Johnston
2018 B conf
Spatial Effects of Video Compression on Classification in Convolutional Neural Networks.
IJCNN
Pamela Johnston, Eyad Elyan, Chrisina Jayne
2018 C conf
Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels.
EANN
Pamela Johnston, Eyad Elyan, Chrisina Jayne