Heuchenne, C., & Nguyen, T. T. V. (21 December 2023). A novel Transformer-based Anomaly Detection approach for ECG Monitoring Healthcare System [Paper presentation]. International Workshop: "Responsible Artificial Intelligence and Applications in Integrated Circuit Industry, Manufacturing, and Healthcare", Da Nang, Vietnam. |
Nguyen, T. T. V., Heuchenne, C., Tran, K. D., & Tran, K. P. (2023). A novel Transformer-based Anomaly Detection approach for ECG Monitoring Healthcare System. In The Seventh International Conference on Safety and Security with IoT, Edition 1 (pp. 111–129). Springer, Cham. doi:10.1007/978-3-031-53028-9_7  Peer reviewed |
  | Nguyen, T. T. V., Heuchenne, C., & Tran, K. P. (21 June 2023). Poster "Anomaly Detection for IoT multivariate time series data with statistical and machine learning techniques" [Paper presentation]. Regional Day for Doctoral Students in Automation 2023, Roubaix, France. |
Heuchenne, C., & Nguyen, T. T. V. (08 January 2023). Machine learning for compositional data analysis in Support of the Decision Making Process [Paper presentation]. The 2nd International Conference on Data Science in Business, Finance and Industry. |
 | Nguyen, T. T. V., Heuchenne, C., & Tran, K. P. (2022). Anomaly Detection for Compositional Data using VSI MEWMA control chart. IFAC-PapersOnLine. doi:10.1016/j.ifacol.2022.09.608 Peer Reviewed verified by ORBi |
Nguyen, T. T. V. (2022). Monitoring Compositional Data using VSI MEWMA control chart [Paper presentation]. Internal Seminar: Anomaly Detection methods, Da Nang, Vietnam. |
Nguyen, T. T. V., Heuchenne, C., & Tran, K. P. (2021). Machine learning for compositional data analysis in Support of the Decision Making Process. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems. Taylor & Francis. Peer reviewed |
