| Novel intrusion detection using probabilistic neural network and adaptive boosting TP Tran, L Cao, D Tran, CD Nguyen International Journal of Computer Science and Information Security, 2009 | 53 | 2009 |
| Enhancing learners’ experience through extending learning systems TP Tran, D Meacheam IEEE Transactions on Learning Technologies 13 (3), 540-551, 2020 | 36 | 2020 |
| BSPNN: boosted subspace probabilistic neural network for email security TP Tran, TTS Nguyen, P Tsai, X Kong Artificial Intelligence Review 35 (4), 369-382, 2011 | 34 | 2011 |
| Boosted modified probabilistic neural network (BMPNN) for network intrusion detection TP Tran, T Jan International Joint Conference on Neural Networks, IJCNN'06, 2354-2361, 2006 | 17 | 2006 |
| Investigation of sequential pattern mining techniques for web recommendation TTS Nguyen, HY Lu, TP Tran, J Lu International Journal of Information and Decision Sciences 4 (4), 293-312, 2012 | 15 | 2012 |
| Expression-invariant facial identification P Tsai, TP Tran, L Cao 2009 IEEE International Conference on Systems, Man and Cybernetics, 5151-5155, 2009 | 12 | 2009 |
| A Multi-Expert Classification Framework for Network Misuse Detection TP Tran, T Jan, AJ Simmonds Proceeding of Artificial Intelligence and Soft Computing, 2006 | 9 | 2006 |
| Network intrusion detection using machine learning and voting techniques T Tran, P Tsai, T Jan, X Kong Machine Learning, 267-290, 2010 | 8 | 2010 |
| An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering TP Tran, P Tsai, T Jan 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 8 | 2008 |
| Learning analytics for improved course delivery: applications and techniques TP Tran, T Jan, SN Kew Proceedings of the 6th International Conference on Digital Technology in …, 2022 | 5 | 2022 |
| Machine Learning Techniques for Network Intrusion Detection TP Tran, P Tsai, T Jan, X He Machine Learning: Concepts, Methodologies, Tools and Applications, 498-521, 2012 | 5 | 2012 |
| A Multi-expert Classification Framework with Transferable Voting for Intrusion Detection TP Tran, P Tsai, T Jan 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 5 | 2008 |
| Spam Recognition using Linear Regression and Radial Basis Function Neural Network TP Tran, M Li, D Tran, DD Ton Machine Learning, 2009 | 4 | 2009 |
| Co-designing a farm safety gamified educational resource with secondary school students and their teachers: qualitative study protocol AE Peden, D Alonzo, F McMillan, TP Tran, C Hawke, R Ivers, RC Franklin International journal of qualitative methods 22, 16094069231156345, 2023 | 3 | 2023 |
| A framework for navigating and enhancing the use of digital assessment TP Tran, L Sidhu, D Tran 2021 5th International Conference on E-Society, E-Education and E-Technology …, 2021 | 3 | 2021 |
| A New Multimodal Biometric for Personal Identification P Tsai, TP Tran, L Cao Pattern Recognition, 2009 | 3 | 2009 |
| An evaluation of bi-modal facial appearance+ facial expression face biometrics P Tsai, TP Tran, T Hintz, T Jan 2008 19th International Conference on Pattern Recognition, 1-5, 2008 | 3 | 2008 |
| Adaptive multiple experts system for personal identification using facial behaviour biometrics P Tsai, TP Tran, T Hintz, T Jan 2008 IEEE 10th Workshop on Multimedia Signal Processing, 660-665, 2008 | 3 | 2008 |
| Using learning analytics to alleviate course and student support administrative load for large classes: a case study V Honson, T Vu, TP Tran, W Tejada Estay Journal of Work-Applied Management, 2024 | 2 | 2024 |
| Adolescence is an opportunity for farm injury prevention: A call for better age-based data disaggregation AE Peden, TP Tran, D Alonzo, C Hawke, RC Franklin Frontiers in public health 10, 1036657, 2022 | 2 | 2022 |
Dat TranUniversity of CanberraVerified email at canberra.edu.au
