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Nguyen Thi Thuy Van

HEC Liège : UER > UER Opérations

HEC Liège Research

HEC Liège Research: Business Analytics & Supply Chain Mgmt

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ORCID
0000-0001-5446-0174
Main Referenced Co-authors
Heuchenne, Cédric  (11)
Tran, Kim Phuc (11)
Tran, Kim Duc (5)
Tartare, Guillaume (3)
Nguyen, Thi Hien (1)
Main Referenced Keywords
Control chart (5); Support vector data description (4); Anomaly detection (3); Compositional data (3); Multivariate exponentially weighted moving average (3);
Main Referenced Unit & Research Centers
HEC Liège Research - ULiège (1)
https://www.gemtex.fr/ (1)
Main Referenced Disciplines
Computer science (5)
Quantitative methods in economics & management (4)
Engineering, computing & technology: Multidisciplinary, general & others (2)

Publications (total 11)

The most downloaded
58 downloads
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 https://hdl.handle.net/2268/293780

The most cited

5 citations (Scopus®)

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 https://hdl.handle.net/2268/293780

Nguyen, T. T. V., Heuchenne, C., Tran, K. D., Tartare, G., & Tran, K. P. (In press). Explainable Transformer-based Approach for ECG Anomaly Detection. In Proceedings of the 1st EAI International Conference on Responsible Artificial Intelligence and Data Science. Springer EAISICC series.
Peer reviewed

Nguyen, T. T. V., Heuchenne, C., Tran, K. D., Tartare, G., & Tran, K. P. (11 January 2025). SVDD control charts based on MEWMA technique for monitoring Compositional Data. Computers and Industrial Engineering, 201. doi:10.1016/j.cie.2025.110865
Peer Reviewed verified by ORBi

Nguyen, T. T. V., Nguyen, T. H., Tran, K. D., Heuchenne, C., & Tran, K. P. (2024). Monitoring the Ratio of Two Normal Variables and Compositional Data: A Literature Review and Perspective. In K. P. Tran (Ed.), Computational Techniques for Smart Manufacturing in Industry 5.0: Methods and Applications (1). United States: Taylor & Francis Group, LLC.
Peer reviewed

Nguyen, T. T. V., Tran, K. P., Heuchenne, C., & Tartare, G. (08 July 2024). Poster "Anomaly Detection for IoT multivariate time series data with statistical and machine learning techniques, JRDMA 2024" [Paper presentation]. 10th edition of the Journée Régionale des Doctorants en sciences de la Mer et de l’Automatique (JRDMA), Boulogne-sur-Mer, France.

Nguyen, T. T. V., Heuchenne, C., Tran, K. D., & Tran, K. P. (2024). 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

Heuchenne, C., Nguyen, T. T. V., Tran, K. D., & Tran, K. P. (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. 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., & Tran, K. P. (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., Heuchenne, C., & Tran, K. P. (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

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