| Deep transfer learning for image classification: a survey J Plested, T Gedeon arXiv preprint arXiv:2205.09904, 2022 | 49 | 2022 |
| Deep feature learning and visualization for EEG recording using autoencoders Y Yao, J Plested, T Gedeon Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 49 | 2018 |
| Information-preserving feature filter for short-term EEG signals Y Yao, J Plested, T Gedeon Neurocomputing 408, 91-99, 2020 | 18 | 2020 |
| GAN-SMOTE: A Generative Adversarial Network approach to Synthetic Minority Oversampling. M Scott, J Plested Aust. J. Intell. Inf. Process. Syst. 15 (2), 29-35, 2019 | 13 | 2019 |
| Rethinking binary hyperparameters for deep transfer learning J Plested, X Shen, T Gedeon Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 10* | 2021 |
| Generalized alignment for multimodal physiological signal learning Y Liu, Y Yao, Z Wang, J Plested, T Gedeon 2019 International Joint Conference on Neural Networks (IJCNN), 1-10, 2019 | 10 | 2019 |
| An analysis of the interaction between transfer learning protocols in deep neural networks J Plested, T Gedeon Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 8 | 2019 |
| Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies C Wise, J Plested arXiv preprint arXiv:2202.08892, 2022 | 7 | 2022 |
| Improved Techniques for Building EEG Feature Filters Y Yao, J Plested, T Gedeon, Y Liu, Z Wang 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 7 | 2019 |
| A feature filter for EEG using Cycle-GAN structure Y Yao, J Plested, T Gedeon Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 7 | 2018 |
| Detection of universal cross-cultural depression indicators from the physiological signals of observers JF Plested, TD Gedeon, XY Zhu, A Dhall, RR Geocke 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 7 | 2017 |
| Pairwise-GAN: pose-based view synthesis through pair-wise training X Shen, J Plested, Y Yao, T Gedeon International conference on neural information processing, 507-515, 2020 | 5 | 2020 |
| Classification of Humans’ Perception of Manipulated and Unmanipulated Digital Images Using Feedforward Neural Network with Network Reduction Technique Z Tan, J Plested ICONIP2019 Proceedings, 2019 | 4 | 2019 |
| Feature Selection on Thermal-stress Dataset X Shen, J Plested, T Gedeon arXiv preprint arXiv:2109.03755, 2021 | 3 | 2021 |
| MultiTune: Adaptive Integration of Multiple Fine-Tuning Models for Image Classification Y Wang, J Plested, T Gedeon Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 3 | 2020 |
| Evaluation on neural network models for video-based stress recognition A Kennardi, J Plested International Conference on Neural Information Processing, 440-447, 2019 | 3 | 2019 |
| Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space X Shen, J Plested, S Caldwell, T Gedeon 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| Structure simplification of neural network for smile classification. S Liu, J Plested Aust. J. Intell. Inf. Process. Syst. 15 (3), 10-18, 2019 | 2 | 2019 |
| Pruning Convolutional Neural Network with Distinctiveness Approach W Li, J Plested Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 2 | 2019 |
| Beyond binary hyperparameters in deep transfer learning for image classification J Plested PQDT-Global, 2023 | 1 | 2023 |
Tom GedeonHuman-Centric Advancements Chair in AI, Curtin UniversityVerified email at curtin.edu.au
