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Vieth, N. Grimmelsmann, A. Schneider, and B. Hammer, “Efficient Sensor Selection for Individualized Prediction Based on Biosignals,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i>, Manchester, 2022, vol. 13756, pp. 326–337.","bibtex":"@inproceedings{Vieth_Grimmelsmann_Schneider_Hammer_2022, place={Cham}, series={Lecture Notes in Computer Science}, title={Efficient Sensor Selection for Individualized Prediction Based on Biosignals}, volume={13756}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-21753-1_32\">10.1007/978-3-031-21753-1_32</a>}, booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings}, publisher={Springer International Publishing}, author={Vieth, Markus and Grimmelsmann, Nils and Schneider, Axel and Hammer, Barbara}, editor={Yin, Hujun and Camacho, David and Tino, PeterEditors}, year={2022}, pages={326–337}, collection={Lecture Notes in Computer Science} }","apa":"Vieth, M., Grimmelsmann, N., Schneider, A., &#38; Hammer, B. (2022). Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In H. Yin, D. Camacho, &#38; P. Tino (Eds.), <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i> (Vol. 13756, pp. 326–337). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-21753-1_32\">https://doi.org/10.1007/978-3-031-21753-1_32</a>","alphadin":"<span style=\"font-variant:small-caps;\">Vieth, Markus</span> ; <span style=\"font-variant:small-caps;\">Grimmelsmann, Nils</span> ; <span style=\"font-variant:small-caps;\">Schneider, Axel</span> ; <span style=\"font-variant:small-caps;\">Hammer, Barbara</span>: Efficient Sensor Selection for Individualized Prediction Based on Biosignals. In: <span style=\"font-variant:small-caps;\">Yin, H.</span> ; <span style=\"font-variant:small-caps;\">Camacho, D.</span> ; <span style=\"font-variant:small-caps;\">Tino, P.</span> (Hrsg.): <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i>, <i>Lecture Notes in Computer Science</i>. Bd. 13756. Cham : Springer International Publishing, 2022, S. 326–337","short":"M. Vieth, N. Grimmelsmann, A. Schneider, B. Hammer, in: H. Yin, D. Camacho, P. 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In: Yin H, Camacho D, Tino P, eds. <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i>. Vol 13756. Lecture Notes in Computer Science. 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Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes. In: Yin H, Camacho D, Tino P, eds. <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i>. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2022:379-390. doi:<a href=\"https://doi.org/10.1007/978-3-031-21753-1_37\">10.1007/978-3-031-21753-1_37</a>","chicago":"Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i>, edited by Hujun Yin, David Camacho, and Peter Tino, 379–90. Lecture Notes in Computer Science. 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Kuhn, “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings</i>, Manchester, UK, 2022, pp. 379–390."},"author":[{"id":"220691","first_name":"Tim","last_name":"Voigt","full_name":"Voigt, Tim"},{"full_name":"Schöne, Marvin","last_name":"Schöne","id":"218388","first_name":"Marvin"},{"first_name":"Martin","id":"226669","orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin","last_name":"Kohlhase"},{"first_name":"Oliver","last_name":"Nelles","full_name":"Nelles, Oliver"},{"first_name":"Martin","last_name":"Kuhn","full_name":"Kuhn, Martin"}],"language":[{"iso":"eng"}],"year":"2022","_id":"2232","editor":[{"full_name":"Yin, Hujun","last_name":"Yin","first_name":"Hujun"},{"first_name":"David","last_name":"Camacho","full_name":"Camacho, David"},{"first_name":"Peter","last_name":"Tino","full_name":"Tino, Peter"}],"title":"Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes","date_created":"2022-12-02T15:44:35Z","series_title":"Lecture Notes in Computer Science","publication_status":"published","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings","user_id":"245590","publication_identifier":{"eisbn":["978-3-031-21753-1"],"eissn":["1611-3349"],"isbn":["978-3-031-21752-4"],"issn":["0302-9743"]},"type":"conference"}]