[{"language":[{"iso":"eng"}],"year":"2021","_id":"2572","conference":{"location":"Osaka Japan","name":"MSIE 2021: 2021 3rd International Conference on Management Science and Industrial Engineering","start_date":"2021-04-02","end_date":"2021-04-04"},"status":"public","place":"New York, NY, USA","author":[{"first_name":"Luca","last_name":"Steinmann","full_name":"Steinmann, Luca"},{"full_name":"Migenda, Nico","orcid":"0000-0002-7223-1735","last_name":"Migenda","id":"218473","first_name":"Nico"},{"last_name":"Voigt","full_name":"Voigt, Tim","first_name":"Tim","id":"220691"},{"last_name":"Kohlhase","orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin","first_name":"Martin","id":"226669"},{"last_name":"Schenck","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","id":"224375","first_name":"Wolfram"}],"citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Steinmann, Luca</span> ; <span style=\"font-variant:small-caps;\">Migenda, Nico</span> ; <span style=\"font-variant:small-caps;\">Voigt, Tim</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Variational Autoencoder based Novelty Detection for Real-World Time Series. In: <i>2021 3rd International Conference on Management Science and Industrial Engineering</i>. New York, NY, USA : ACM, 2021, S. 1–7","apa":"Steinmann, L., Migenda, N., Voigt, T., Kohlhase, M., &#38; Schenck, W. (2021). Variational Autoencoder based Novelty Detection for Real-World Time Series. In <i>2021 3rd International Conference on Management Science and Industrial Engineering</i> (pp. 1–7). New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/3460824.3460825\">https://doi.org/10.1145/3460824.3460825</a>","bibtex":"@inproceedings{Steinmann_Migenda_Voigt_Kohlhase_Schenck_2021, place={New York, NY, USA}, title={Variational Autoencoder based Novelty Detection for Real-World Time Series}, DOI={<a href=\"https://doi.org/10.1145/3460824.3460825\">10.1145/3460824.3460825</a>}, 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} }","ieee":"L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational Autoencoder based Novelty Detection for Real-World Time Series,” in <i>2021 3rd International Conference on Management Science and Industrial Engineering</i>, Osaka Japan, 2021, pp. 1–7.","mla":"Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” <i>2021 3rd International Conference on Management Science and Industrial Engineering</i>, ACM, 2021, pp. 1–7, doi:<a href=\"https://doi.org/10.1145/3460824.3460825\">10.1145/3460824.3460825</a>.","ama":"Steinmann L, Migenda N, Voigt T, Kohlhase M, Schenck W. Variational Autoencoder based Novelty Detection for Real-World Time Series. In: <i>2021 3rd International Conference on Management Science and Industrial Engineering</i>. New York, NY, USA: ACM; 2021:1-7. doi:<a href=\"https://doi.org/10.1145/3460824.3460825\">10.1145/3460824.3460825</a>","short":"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.","chicago":"Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In <i>2021 3rd International Conference on Management Science and Industrial Engineering</i>, 1–7. New York, NY, USA: ACM, 2021. <a href=\"https://doi.org/10.1145/3460824.3460825\">https://doi.org/10.1145/3460824.3460825</a>."},"publisher":"ACM","page":"1-7","date_updated":"2026-03-17T15:28:34Z","doi":"10.1145/3460824.3460825","user_id":"249199","type":"conference","publication_identifier":{"isbn":["9781450388887"]},"publication_status":"published","publication":"2021 3rd International Conference on Management Science and Industrial Engineering","title":"Variational Autoencoder based Novelty Detection for Real-World Time Series","date_created":"2023-03-10T08:40:15Z"}]