By Dr Jo Plested

Journal articles

Shahzad S; Joiner K; Qiao L; Deane F; Plested J, 2024, 'Cyber Resilience Limitations in Space Systems Design Process: Insights from Designers', Systems, 12, pp. 434 - 434, http://dx.doi.org/10.3390/systems12100434

Yao Y; Plested J; Gedeon T, 2020, 'Information-preserving feature filter for short-term EEG signals', Neurocomputing, 408, pp. 91 - 99, http://dx.doi.org/10.1016/j.neucom.2019.11.106

Conference Papers

Le V-H; Plested J; El-Fiqi H, 2022, 'Deep learning based detection of high similarity objects on limited hardware robots', in Ishibuchi H; Kwoh C-K (ed.), Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) December 4 – 7, 2022, Singapore, IEEE SSCI, Singapore, pp. 1770 - 1771, presented at 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) December 4 – 7, 2022, Singapore, Singapore, 04 December 2022 - 07 December 2022, https://rpsonline.com.sg/rps2prod/ieee-ssci2022/pdf/IEEE-SSCI22-341.pdf

Wise C; Plested J, 2022, 'Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies', in Ishibuchi H; Kwoh C-K (ed.), Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) December 4 – 7, 2022, Singapore, IEEE SSCI, Singapore, pp. 1772 - 1773, presented at 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) December 4 – 7, 2022, Singapore, Singapore, 04 December 2022 - 07 December 2022, https://rpsonline.com.sg/rps2prod/ieee-ssci2022/pdf/IEEE-SSCI22-344.pdf

Fu YS; Ge W; Plested J, 2022, 'FERM: A FEature-space Representation Measure for Improved Model Evaluation', in CEUR Workshop Proceedings, http://dx.doi.org/10.26190/unsworks/28368

Shen X; Plested J; Caldwell S; Gedeon T, 2021, 'Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534287

Plested J; Shen X; Gedeon T, 2021, 'Rethinking Binary Hyperparameters for Deep Transfer Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 463 - 475, http://dx.doi.org/10.1007/978-3-030-92270-2_40

Evans N; Plested J; Gedeon T, 2020, 'Exploring the Correlation between Random Convolutional Architectures and the Trained Equivalent', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207465

Cui R; Plested J; Liu J, 2020, 'Declarative Residual Network for Robust Facial Expression Recognition', in Communications in Computer and Information Science, pp. 345 - 352, http://dx.doi.org/10.1007/978-3-030-63820-7_39

Wang Y; Plested J; Gedeon T, 2020, 'MultiTune: Adaptive Integration of Multiple Fine-Tuning Models for Image Classification', in Communications in Computer and Information Science, pp. 488 - 496, http://dx.doi.org/10.1007/978-3-030-63820-7_56

Shen X; Plested J; Yao Y; Gedeon T, 2020, 'Pairwise-GAN: Pose-Based View Synthesis Through Pair-Wise Training', in Communications in Computer and Information Science, pp. 507 - 515, http://dx.doi.org/10.1007/978-3-030-63820-7_58

Liu Y; Yao Y; Wang Z; Plested J; Gedeon T, 2019, 'Generalized Alignment for Multimodal Physiological Signal Learning', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8852216

Yao Y; Plested J; Gedeon T; Liu Y; Wang Z, 2019, 'Improved Techniques for Building EEG Feature Filters', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8852302

Plested J; Gedeon T, 2019, 'An analysis of the interaction between transfer learning protocols in deep neural networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 312 - 323, http://dx.doi.org/10.1007/978-3-030-36708-4_26

Kennardi A; Plested J, 2019, 'Evaluation on Neural Network Models for Video-Based Stress Recognition', in Communications in Computer and Information Science, pp. 440 - 447, http://dx.doi.org/10.1007/978-3-030-36802-9_47

Li W; Plested J, 2019, 'Pruning Convolutional Neural Network with Distinctiveness Approach', in Communications in Computer and Information Science, pp. 448 - 455, http://dx.doi.org/10.1007/978-3-030-36802-9_48

Vos A; Plested J, 2019, 'Using an evolutionary algorithm to optimize the hyper-parameters of a cascading neural network', in Communications in Computer and Information Science, pp. 758 - 765, http://dx.doi.org/10.1007/978-3-030-36808-1_83

Liu T; Plested J, 2019, 'Using evolutionary algorithms for hyperparameter tuning and network reduction techniques to classify core porosity classes based on petrographical descriptions', in Communications in Computer and Information Science, pp. 750 - 757, http://dx.doi.org/10.1007/978-3-030-36808-1_82

Yao Y; Plested J; Gedeon T, 2018, 'A Feature Filter for EEG Using Cycle-GAN Structure', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 567 - 576, http://dx.doi.org/10.1007/978-3-030-04239-4_51

Yao Y; Plested J; Gedeon T, 2018, 'Deep Feature Learning and Visualization for EEG Recording Using Autoencoders', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 554 - 566, http://dx.doi.org/10.1007/978-3-030-04239-4_50

Plested JF; Gedeon TD; Zhu XY; Dhall A; Geocke R; Goecke R, 2017, 'Detection of universal cross-cultural depression indicators from the physiological signals of observers', in 2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017, Institute of Electrical and Electronics Engineers (IEEE), pp. 185 - 192, presented at 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 23 October 2017 - 26 October 2017, http://dx.doi.org/10.1109/ACIIW.2017.8272612

Preprints

Plested J; Gedeon T, 2022, Deep transfer learning for image classification: a survey, http://arxiv.org/abs/2205.09904v1

Plested J; Shen X; Gedeon T, 2021, Non-binary deep transfer learning for image classification, http://arxiv.org/abs/2107.08585v2

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