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Tung Kieu

20182019
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Time series Engineering & Materials Science
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Accelerometers Engineering & Materials Science
Experiments Engineering & Materials Science
Global positioning system Engineering & Materials Science

Research Output 2018 2019

  • 3 Article in proceeding
2 Citations (Scopus)

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

Kieu, T., Yang, B., Guo, C. & Jensen, C. S., 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Kraus, S. (ed.). ijcai.org, p. 2725-2732 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
Time series
Recurrent neural networks
Neural networks
Experiments
6 Citations (Scopus)

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories

Kieu, T., Yang, B., Guo, C. & Jensen, C. S., 17 Oct 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 863-872 10 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

15 Citations (Scopus)

Outlier detection for multidimensional time series using deep neural networks

Kieu, T., Yang, B. & Jensen, C. S., 13 Jul 2018, Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. IEEE, Vol. 2018-June. p. 125-134 10 p. (IEEE International Conference on Mobile Data Management (MDM)).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Time series
Deep neural networks
Neural networks
Analog to digital conversion
Accelerometers