Pamela Johnston
Orcid: 0000-0002-6199-8471
According to our database1,
Pamela Johnston
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers.
Multim. Tools Appl., September, 2024
2023
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection.
Proceedings of the International Joint Conference on Neural Networks, 2023
Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19.
Proceedings of the IEEE Frontiers in Education Conference, 2023
2022
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.
Cogn. Comput., 2022
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.
Inf. Fusion, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
2020
Neural Comput. Appl., 2020
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
2019
Beyond the pixels: learning and utilising video compression features for localisation of digital tampering.
PhD thesis, 2019
Digit. Investig., 2019
2018
Spatial Effects of Video Compression on Classification in Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Engineering Applications of Neural Networks, 2018