{"type":"conference","publication_identifier":{"isbn":["9781450388887"]},"conference":{"location":"Osaka Japan","name":"MSIE 2021: 2021 3rd International Conference on Management Science and Industrial Engineering","end_date":"2021-04-04","start_date":"2021-04-02"},"place":"New York, NY, USA","page":"1-7","date_updated":"2023-05-10T13:44:02Z","language":[{"iso":"eng"}],"publisher":"ACM","author":[{"full_name":"Steinmann, Luca","last_name":"Steinmann","first_name":"Luca"},{"id":"218473","orcid":"0000-0002-7223-1735","first_name":"Nico","last_name":"Migenda","full_name":"Migenda, Nico"},{"first_name":"Tim","id":"220691","full_name":"Voigt, Tim","last_name":"Voigt"},{"last_name":"Kohlhase","full_name":"Kohlhase, Martin","id":"226669","first_name":"Martin"},{"last_name":"Schenck","full_name":"Schenck, Wolfram","id":"224375","first_name":"Wolfram","orcid":"0000-0003-3300-2048"}],"doi":"10.1145/3460824.3460825","date_created":"2023-03-10T08:40:15Z","publication":"2021 3rd International Conference on Management Science and Industrial Engineering","title":"Variational Autoencoder based Novelty Detection for Real-World Time Series","citation":{"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>","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.","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>","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>.","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","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."},"user_id":"249199","_id":"2572","status":"public","publication_status":"published","year":"2021"}