Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering

Originalsprog	Engelsk
Vejledere	Jensen, Christian S., Hovedvejleder Yang, Bin, Bivejleder
Status	Udgivet - 2021

Bibliografisk note

Afhandling ikke publiceret.

AUB Link

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Publikation

Publikationer pr. år 2018 2018 2019 2019

• 3 Konferenceartikel i proceeding

Publikationer pr. år

Publikationer pr. år

• Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

  Kieu, T., Yang, B., Guo, C. & Jensen, C. S., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). ijcai.org, s. 2725-2732 8 s.

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  Åben adgang

  • Recurrent 100%
  • Autoencoder 100%
  • Recurrent Neural Network 100%
  • Neural Network 50%
  • Dataset 16%
  168 Citationer (Scopus)

• Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories

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

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
  41 Citationer (Scopus)

• Outlier Detection for Multidimensional Time Series using Deep Neural Networks

  Kieu, T., Yang, B. & Jensen, C. S., 13 jul. 2018, Proceedings of the 19th IEEE International Conference on Mobile Data Management, MDM 2018. IEEE, Bind 2018-June. s. 125-134 10 s. (IEEE International Conference on Mobile Data Management (MDM)).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Deep Neural Network 100%
  • Autoencoder 100%
  • Feature Space 66%
  • Dimensionality Reduction 33%
  • Contextual Information 33%
  152 Citationer (Scopus)

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Kieu, T. (2021). Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering.

Kieu, Tung. / Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering. 2021.

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title = "Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering",

author = "Tung Kieu",

note = "Dissertation not published.",

year = "2021",

language = "English",

series = "Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet",

publisher = "Aalborg Universitetsforlag",

}

Kieu, T 2021, 'Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering'.

Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering. / Kieu, Tung.
2021.

Publikation: Ph.d.-afhandling

TY - GEN

T1 - Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering

AU - Kieu, Tung

N1 - Dissertation not published.

PY - 2021

Y1 - 2021

M3 - PhD thesis

T3 - Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet

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Kieu T. Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering. 2021.