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(j1) Hong-Linh Truong and Ngoc Nhu Trang Nguyen, TENSAI - Practical and Responsible Observability for Data Quality-aware Large-scale Analytics (ACM Open Access). Journal of Data and Information Quality, (December 2024). https://doi.org/10.1145/3708014, 43 pages.
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(c3) Hong-Linh Truong and Nguyen Ngoc Nhu Trang, CuLao - Constructing Utilities of Large Language Models in Resource-Constrained Environments (PDF)/(ACM PDF). 2024 ACM 4th International Conference on Information Technology for Social Good (GoodIT), Bremen, Germany, 2024, pp. 100 - 104, doi: 10.1145/3677525.3678648.
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(c2) Nguyen Ngoc Nhu Trang and Hong-Linh Truong, Context-aware, Composable Anomaly Detection in Large-scale Mobile Networks (PDF). 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), Torino, Italy, 2023, pp. 183-192, doi: 10.1109/COMPSAC57700.2023.00032.
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(c1) Hong-Linh Truong and Nguyen Ngoc Nhu Trang, HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks (PDF). 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 2389-2393, doi: 10.1109/BigData55660.2022.10020515.
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Hong-Linh Truong and Nguyen Ngoc Nhu Trang (2024). Analytics Feature Space: a Novel Framework for Interoperable Edge Machine Learning Detection. (PDF)
