| A novel application of deep learning to forensic hair analysis methodology M Airlie, J Robertson, W Ma, D Airlie, E Brooks Australian Journal of Forensic Sciences 56 (3), 311-322, 2024 | 3 | 2024 |
| The application of statistical and novel unsupervised machine learning methodology to forensic hair analysis M Airlie, J Robertson, W Ma, E Brooks Australian Journal of Forensic Sciences, 1-14, 2024 | | 2024 |
| A Survey on the Principles of Persuasion as a Social Engineering Strategy in Phishing K Khadka, AB Ullah, W Ma, EM Marroquin, Y Alem 2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023 | | 2023 |
| Static analysis for Android Malware detection with document vectors U Raghav, E Martinez-Marroquin, W Ma 2021 International Conference on Data Mining Workshops (ICDMW), 805-812, 2021 | 6 | 2021 |
| Biometric recognition system performance measures for lossy compression on EEG signals B Nguyen, W Ma, D Tran Logic Journal of the IGPL 29 (6), 889-905, 2021 | 2 | 2021 |
| Application of Deep Learning in Automated Meal Recognition J Mao, D Tran, W Ma, N Naumovski, J Kellett, A Slattery 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 58-63, 2020 | 5 | 2020 |
| Wavelet-based denoising for EEG-based pattern recognition systems B Nguyen, W Ma, D Tran, Y Chung 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1249-1256, 2020 | 2 | 2020 |
| : A Variational Universal Background Model for EEG-Based Person Authentication H Tran, D Tran, W Ma, P Nguyen International Conference on Neural Information Processing, 478-485, 2019 | | 2019 |
| EEG-based person authentication system in different brain states N Tran, D Tran, S Liu, W Ma, T Pham 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019 | 9 | 2019 |
| A Study on Combing EEG signals and Crytography for Bitcoin security D Nguyen, T Dat, W Ma Australian Journal of Intelligent Information Processing Systems 34, 2019 | 3 | 2019 |
| EEG-Based Person Authentication with Variational Universal Background Model H Tran, D Tran, W Ma, P Nguyen Network and System Security: 13th International Conference, NSS 2019 …, 2019 | | 2019 |
| Deep learning approach to biogeographical ancestry inference Y Qu, D Tran, W Ma Procedia Computer Science 159, 552-561, 2019 | 8 | 2019 |
| A study of combined lossy compression and person identification on eeg signals B Nguyen, W Ma, D Tran International Joint Conference SOCO’18-CISIS’18-ICEUTE’18: San Sebastián …, 2019 | 1 | 2019 |
| Impact of lossy data compression techniques on EEG-based pattern recognition systems B Nguyen, W Ma, D Tran 2018 24th International Conference on Pattern Recognition (ICPR), 2308-2313, 2018 | 5 | 2018 |
| Emotional influences on cryptographic key generation systems using EEG signals D Nguyen, D Tran, D Sharma, W Ma Procedia computer science 126, 703-712, 2018 | 7 | 2018 |
| A study of combined lossy compression and seizure detection on epileptic EEG signals B Nguyen, W Ma, D Tran Procedia Computer Science 126, 156-165, 2018 | 10 | 2018 |
| On the study of impacts of brain conditions on eeg-based cryptographic key generation systems D Nguyen, D Tran, D Sharma, W Ma Procedia Computer Science 126, 713-722, 2018 | 4 | 2018 |
| Random Number Generators Based on EEG Non-linear and Chaotic Characteristics D Nguyen, D Tran, W Ma, D Sharma Journal of Cyber Security and Mobility, 305-338, 2017 | 2 | 2017 |
| Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining TD Pham, D Tran, W Ma Australasian Journal of Information Systems 21, 2017 | 7 | 2017 |
| EEG-Based random number generators D Nguyen, D Tran, W Ma, K Nguyen International Conference on Network and System Security, 248-256, 2017 | 10 | 2017 |
Dat TranUniversity of Canberra在 canberra.edu.au 的电子邮件经过验证
