Variational Autoencoder based Novelty Detection for Real-World Time Series
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, W. Schenck, in: 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, New York, NY, USA, 2021, pp. 1–7.
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Konferenzbeitrag
| Veröffentlicht
| Englisch
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Erscheinungsjahr
Titel des Konferenzbandes
2021 3rd International Conference on Management Science and Industrial Engineering
Seite
1-7
Konferenz
MSIE 2021: 2021 3rd International Conference on Management Science and Industrial Engineering
Konferenzort
Osaka Japan
Konferenzdatum
2021-04-02 – 2021-04-04
ISBN
FH-PUB-ID
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Steinmann, Luca ; Migenda, Nico ; Voigt, Tim ; Kohlhase, Martin ; Schenck, Wolfram: Variational Autoencoder based Novelty Detection for Real-World Time Series. In: 2021 3rd International Conference on Management Science and Industrial Engineering. New York, NY, USA : ACM, 2021, S. 1–7
Steinmann L, Migenda N, Voigt T, Kohlhase M, Schenck W. Variational Autoencoder based Novelty Detection for Real-World Time Series. In: 2021 3rd International Conference on Management Science and Industrial Engineering. New York, NY, USA: ACM; 2021:1-7. doi:10.1145/3460824.3460825
Steinmann, L., Migenda, N., Voigt, T., Kohlhase, M., & Schenck, W. (2021). Variational Autoencoder based Novelty Detection for Real-World Time Series. In 2021 3rd International Conference on Management Science and Industrial Engineering (pp. 1–7). New York, NY, USA: ACM. https://doi.org/10.1145/3460824.3460825
@inproceedings{Steinmann_Migenda_Voigt_Kohlhase_Schenck_2021, place={New York, NY, USA}, title={Variational Autoencoder based Novelty Detection for Real-World Time Series}, DOI={10.1145/3460824.3460825}, booktitle={2021 3rd International Conference on Management Science and Industrial Engineering}, publisher={ACM}, author={Steinmann, Luca and Migenda, Nico and Voigt, Tim and Kohlhase, Martin and Schenck, Wolfram}, year={2021}, pages={1–7} }
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational Autoencoder based Novelty Detection for Real-World Time Series,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 1–7.
Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 1–7, doi:10.1145/3460824.3460825.
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