| Autoencoders for improving quality of process event logs HTC Nguyen, S Lee, J Kim, J Ko, M Comuzzi Expert Systems with Applications 131, 132-147, 2019 | 55 | 2019 |
| Ensemble Learning using Traditional Machine Learning and Deep Neural Networks for Diagnosis of Alzheimer’s Disease D Nguyen, H Nguyen, H Ong, H Le, H Ha, NT Duc, HT Ngo IBRO Neuroscience Reports, 2022 | 31 | 2022 |
| TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection H Nguyen, R Kashef Knowledge-Based Systems, 110966, 2023 | 10 | 2023 |
| Event Log Reconstruction Using Autoencoders HTC Nguyen, M Comuzzi International Conference on Service-Oriented Computing, 335-350, 2018 | 6 | 2018 |
| PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation H Nguyen, R Hamidi Rad, E Bagheri Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Connecting the Indispensable Roles of IoT and Artificial Intelligence in Smart Cities: A Survey H Nguyen, D Nawara, R Kashef Journal of Information and Intelligence, 2024 | 3 | 2024 |
| DyHNet: Learning dynamic heterogeneous network representations H Nguyen, RH Rad, F Zarrinkalam, E Bagheri Information Sciences 646, 119371, 2023 | 3 | 2023 |
| Learning heterogeneous subgraph representations for team discovery R Hamidi Rad, H Nguyen, F Al-Obeidat, E Bagheri, M Kargar, ... Information Retrieval Journal 26 (1), 8, 2023 | 2 | 2023 |
| A Machine Learning Framework Based on Extreme Gradient Boosting for Intelligent Alzheimer’s Disease Diagnosis Using Structure MRI H Ong, H Le, H Nguyen, D Nguyen, H Ha, HT Ngo, NT Duc International Conference on the Development of Biomedical Engineering in …, 2020 | 2 | 2020 |
| Neural Computing for Event Log Quality Improvement HTC Nguyen Graduate School of UNIST, 2018 | | 2018 |
Marco ComuzziUlsan National Institute of Science and Technology在 unist.ac.kr 的电子邮件经过验证
